1
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Zheng Z, Zhou J, Zhu Y. Computational approach inspired advancements of solid-state electrolytes for lithium secondary batteries: from first-principles to machine learning. Chem Soc Rev 2024; 53:3134-3166. [PMID: 38375570 DOI: 10.1039/d3cs00572k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
The increasing demand for high-security, high-performance, and low-cost energy storage systems (EESs) driven by the adoption of renewable energy is gradually surpassing the capabilities of commercial lithium-ion batteries (LIBs). Solid-state electrolytes (SSEs), including inorganics, polymers, and composites, have emerged as promising candidates for next-generation all-solid-state batteries (ASSBs). ASSBs offer higher theoretical energy densities, improved safety, and extended cyclic stability, making them increasingly popular in academia and industry. However, the commercialization of ASSBs still faces significant challenges, such as unsatisfactory interfacial resistance and rapid dendrite growth. To overcome these problems, a thorough understanding of the complex chemical-electrochemical-mechanical interactions of SSE materials is essential. Recently, computational methods have played a vital role in revealing the fundamental mechanisms associated with SSEs and accelerating their development, ranging from atomistic first-principles calculations, molecular dynamic simulations, multiphysics modeling, to machine learning approaches. These methods enable the prediction of intrinsic properties and interfacial stability, investigation of material degradation, and exploration of topological design, among other factors. In this comprehensive review, we provide an overview of different numerical methods used in SSE research. We discuss the current state of knowledge in numerical auxiliary approaches, with a particular focus on machine learning-enabled methods, for the understanding of multiphysics-couplings of SSEs at various spatial and time scales. Additionally, we highlight insights and prospects for SSE advancements. This review serves as a valuable resource for researchers and industry professionals working with energy storage systems and computational modeling and offers perspectives on the future directions of SSE development.
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Affiliation(s)
- Zhuoyuan Zheng
- School of Energy Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu Province 211816, China.
| | - Jie Zhou
- School of Energy Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu Province 211816, China.
| | - Yusong Zhu
- School of Energy Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu Province 211816, China.
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2
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Mohapatra S, Teherpuria H, Paul Chowdhury SS, Ansari SJ, Jaiswal PK, Netz RR, Mogurampelly S. Ion transport mechanisms in pectin-containing EC-LiTFSI electrolytes. NANOSCALE 2024; 16:3144-3159. [PMID: 38258993 DOI: 10.1039/d3nr04029a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Using all-atom molecular dynamics simulations, we report the structure and ion transport characteristics of a new class of solid polymer electrolytes that contain the biodegradable and mechanically stable biopolymer pectin. We used highly conducting ethylene carbonate (EC) as a solvent for simulating lithium-trifluoromethanesulfonimide (LiTFSI) salt containing different weight percentages of pectin. Our simulations reveal that the pectin chains reduce the coordination number of lithium ions around their counterions (and vice versa) because of stronger lithium-pectin interactions compared to lithium-TFSI interactions. Furthermore, the pectin is found to promote smaller ionic aggregates over larger ones, in contrast to the results typically reported for liquid and polymer electrolytes. We observed that the loading of pectin in EC-LiTFSI electrolytes increases their viscosity (η) and relaxation timescales (τc), indicating higher mechanical stability, and, consequently, a decrease of the mean squared displacement, diffusion coefficient (D), and Nernst-Einstein conductivity (σNE). Interestingly, while the lithium diffusivities are related to the ion-pair relaxation timescales as D+ ∼ τc-3.1, the TFSI- diffusivities exhibit excellent correlations with ion-pair relaxation timescales as D- ∼ τc-0.95. On the other hand, the NE conductivities are dictated by distinct transport mechanisms and scales with ion-pair relaxation timescales as σNE ∼ τc-1.85.
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Affiliation(s)
- Sipra Mohapatra
- Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
| | - Hema Teherpuria
- Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
| | - Sapta Sindhu Paul Chowdhury
- Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
| | - Suleman Jalilahmad Ansari
- Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
| | - Prabhat K Jaiswal
- Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
| | - Roland R Netz
- Fachbereich Physik, Freie Universität Berlin, 14195 Berlin, Germany
| | - Santosh Mogurampelly
- Department of Physics, Indian Institute of Technology Jodhpur, N.H. 62, Nagaur Road, Karwar, Jodhpur, Rajasthan 342030, India.
- Fachbereich Physik, Freie Universität Berlin, 14195 Berlin, Germany
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3
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Tekell MC, Nikolakakou G, Glynos E, Kumar SK. Ionic Conductivity and Mechanical Reinforcement of Well-Dispersed Polymer Nanocomposite Electrolytes. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37327494 DOI: 10.1021/acsami.3c04633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Nanoparticles are commonly added to polymer electrolytes to enhance both their mechanical and ion transport properties. Previous work reports significant increases in the ionic conductivity and Li-ion transference in nanocomposite electrolytes with inert, ceramic fillers. The mechanistic understanding of this property enhancement, however, assumes nanoparticle dispersion states─namely, well-dispersed or percolating aggregates─that are seldom quantified using small-angle scattering. In this work, we carefully control the inter-silica nanoparticle structure (where each NP has a diameter D = 14 nm) in a model polymer electrolyte system (PEO:LiTFSI). We find that hydrophobically modified silica NPs are stabilized against aggregation in an organic solvent by inter-NP electrostatic repulsion. Favorable NP surface chemistry and a strongly negative zeta potential promote compatibility with PEO and the resulting electrolyte. Upon prolonged thermal annealing, the nanocomposite electrolytes display structure factors with characteristic interparticle spacings determined by particle volume fraction. Thermal annealing and particle structuring yield significant increases in the storage modulus, G', at 90 °C for the PEO/NP mixtures. We measure the dielectric spectra and blocking-electrode (κb) conductivities from -100 to 100 °C, and the Li+ current fraction (ρLi+) in symmetric Li-metal cells at 90 °C. We find that nanoparticles monotonically decrease the bulk ionic conductivity of PEO:LiTFSI at a rate faster than Maxwell's prediction for transport in composite media, while ρLi+ does not significantly change as a function of particle loading. Thus, when nanoparticle dispersion is controlled in polymer electrolytes, Li+ conductivity monotonically, i.e., (κbρLi+), decreases but favorable mechanical properties are realized. These results imply that percolating aggregates of ceramic surfaces, as opposed to physically separated particles, probably are required to achieve increases in bulk, ionic conductivity.
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Affiliation(s)
- Marshall C Tekell
- Department of Chemical Engineering, Columbia University, New York, New York 10027, United States
| | - Georgia Nikolakakou
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, 711 10 Heraklion, Crete, Greece
- Department of Chemistry, University of Crete, 710 03 Heraklion, Crete, Greece
| | - Emmanouil Glynos
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, 711 10 Heraklion, Crete, Greece
- Department of Materials Science and Technology, University of Crete, 71003 Heraklion, Greece
| | - Sanat K Kumar
- Department of Chemical Engineering, Columbia University, New York, New York 10027, United States
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4
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Zhang H, Sundaresan S, Webb MA. Molecular Dynamics Investigation of Nanoscale Hydrophobicity of Polymer Surfaces: What Makes Water Wet? J Phys Chem B 2023. [PMID: 37043668 DOI: 10.1021/acs.jpcb.3c00616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
The wettability of a polymer surface─related to its hydrophobicity or tendency to repel water─can be crucial for determining its utility, such as for a coating or a purification membrane. While wettability is commonly associated with the macroscopic measurement of a contact angle between surface, water, and air, the molecular physics that underlie these macroscopic observations are not fully known, and anticipating the relative behavior of different polymers is challenging. To address this gap in molecular-level understanding, we use molecular dynamics simulations to investigate and contrast interactions of water with six chemically distinct polymers: polytetrafluoroethylene, polyethylene, polyvinyl chloride, poly(methyl methacrylate), Nylon-66, and poly(vinyl alcohol). We show that several prospective quantitative metrics for hydrophobicity agree well with experimental contact angles. Moreover, the behavior of water in proximity to these polymer surfaces can be distinguished with analysis of interfacial water dynamics, extent of hydrogen bonding, and molecular orientation─even when macroscopic measures of hydrophobicity are similar. The predominant factor dictating wettability is found to be the extent of hydrogen bonding between polymer and water, but the precise manifestation of hydrogen bonding and its impact on surface water structure varies. In the absence of hydrogen bonding, other molecular interactions and polymer mechanics control hydrophobic ordering. These results provide new insights into how polymer chemistry specifically impacts water-polymer interactions and translates to surface hydrophobicity. Such factors may facilitate the design or processing of polymer surfaces to achieve targeted wetting behavior, and presented analyses can be useful in studying the interfacial physics of other systems.
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Affiliation(s)
- Hang Zhang
- Department of Chemistry, Princeton University, Princeton, New Jersey 08544, United States
| | - Sankaran Sundaresan
- Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
| | - Michael A Webb
- Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States
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5
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Li Z, Fu J, Zhou X, Gui S, Wei L, Yang H, Li H, Guo X. Ionic Conduction in Polymer-Based Solid Electrolytes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2201718. [PMID: 36698303 PMCID: PMC10074084 DOI: 10.1002/advs.202201718] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 12/07/2022] [Indexed: 06/17/2023]
Abstract
Good safety, high interfacial compatibility, low cost, and facile processability make polymer-based solid electrolytes promising materials for next-generation batteries. Key issues related to polymer-based solid electrolytes, such as synthesis methods, ionic conductivity, and battery architecture, are investigated in past decades. However, mechanistic understanding of the ionic conduction is still lacking, which impedes the design and optimization of polymer-based solid electrolytes. In this review, the ionic conduction mechanisms and optimization strategies of polymer-based solid electrolytes, including solvent-free polymer electrolytes, composite polymer electrolytes, and quasi-solid/gel polymer electrolytes, are summarized and evaluated. Challenges and strategies for enhancing the ionic conductivity are elaborated, while the ion-pair dissociation, ion mobility, polymer relaxation, and interactions at polymer/filler interfaces are highlighted. This comprehensive review is especially pertinent for the targeted enhancement of the Li-ion conductivity of polymer-based solid electrolytes.
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Affiliation(s)
- Zhuo Li
- School of Materials Science and EngineeringState Key Laboratory of Material Processing and Die & Mould TechnologyHuazhong University of Science and TechnologyWuhan430074P.R. China
| | - Jialong Fu
- School of Materials Science and EngineeringState Key Laboratory of Material Processing and Die & Mould TechnologyHuazhong University of Science and TechnologyWuhan430074P.R. China
| | - Xiaoyan Zhou
- School of Materials Science and EngineeringState Key Laboratory of Material Processing and Die & Mould TechnologyHuazhong University of Science and TechnologyWuhan430074P.R. China
| | - Siwei Gui
- Department of MechanicsSchool of Aerospace EngineeringHuazhong University of Science and TechnologyWuhan430074P.R. China
| | - Lu Wei
- School of Materials Science and EngineeringState Key Laboratory of Material Processing and Die & Mould TechnologyHuazhong University of Science and TechnologyWuhan430074P.R. China
| | - Hui Yang
- Department of MechanicsSchool of Aerospace EngineeringHuazhong University of Science and TechnologyWuhan430074P.R. China
| | - Hong Li
- Institute of PhysicsChinese Academy of SciencesBeijing100190P.R. China
| | - Xin Guo
- School of Materials Science and EngineeringState Key Laboratory of Material Processing and Die & Mould TechnologyHuazhong University of Science and TechnologyWuhan430074P.R. China
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6
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Molashahi M, Modarress H, Nasernejad B, Amjad-Iranagh S, Ghalami Choobar B. Structural and Transport Properties of Novel High-Transference Number Electrolytes Based on Perfluoropolyether- block-Poly(ethylene oxide) for Application in Lithium-Ion Batteries: A Molecular Dynamics Simulation Study. Macromolecules 2022. [DOI: 10.1021/acs.macromol.2c01419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Maryam Molashahi
- Department of Chemical Engineering, Amirkabir University of Technology, Tehran15875-4413, Iran
| | - Hamid Modarress
- Department of Chemical Engineering, Amirkabir University of Technology, Tehran15875-4413, Iran
| | - Bahram Nasernejad
- Department of Chemical Engineering, Amirkabir University of Technology, Tehran15875-4413, Iran
| | - Sepideh Amjad-Iranagh
- Department of Materials and Metallurgical Engineering, Amirkabir University of Technology, Tehran15875-4413, Iran
| | - Behnam Ghalami Choobar
- Department of Chemical Engineering, Amirkabir University of Technology, Tehran15875-4413, Iran
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7
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Bonilla MR, García Daza FA, Cortés HA, Carrasco J, Akhmatskaya E. On the interfacial lithium dynamics in Li7La3Zr2O12:poly(ethylene oxide) (LiTFSI) composite polymer-ceramic solid electrolytes under strong polymer phase confinement. J Colloid Interface Sci 2022; 623:870-882. [DOI: 10.1016/j.jcis.2022.05.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/30/2022] [Accepted: 05/11/2022] [Indexed: 11/25/2022]
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8
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Mohapatra S, Sharma S, Sriperumbuduru A, Varanasi SR, Mogurampelly S. Effect of Succinonitrile on Ion Transport in PEO-based Lithium-Ion Battery Electrolytes. J Chem Phys 2022; 156:214903. [DOI: 10.1063/5.0087824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
We report the ion transport mechanisms in succinonitrile (SN) loaded solid polymer electrolytes containing polyethylene oxide (PEO) and dissolved lithium bis(trifluoromethane)sulphonamide (LiTFSI) salt using molecular dynamics simulations. We investigated the effect of temperature and loading of SN on ion transport and relaxation phenomenon in PEO-LiTFSI electrolytes. It is observed that SN increases the ionic diffusivities in PEO-based solid polymer electrolytes and makes them suitable for battery applications. Interestingly, the diffusion coefficient of TFSI ions is an order of magnitude higher than the diffusion coefficient of lithium ions across the range of temperatures and loadings integrated. By analyzing different relaxation timescales and examining the underlying transport mechanisms in SN-loaded systems, we find that the diffusivity of TFSI ions correlates excellently with the Li-TFSI ion-pair relaxation timescales. In contrast, our simulations predict distinct transport mechanisms for Li-ions in SN-loaded PEO-LiTFSI electrolytes. Explicitly, the diffusivity of lithium ions cannot be uniquely determined by the ion-pair relaxation timescales but additionally depends on the polymer segmental dynamics. On the other hand, the SN loading induced diffusion coefficient at a given temperature does not correlate with either the ion-pair relaxation timescales or the polymer segmental relaxation timescales.
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Affiliation(s)
- Sipra Mohapatra
- Department of Physics, Indian Institute of Technology Jodhpur, India
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9
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Qu M, Li S, Chen J, Xiao Y, Xiao J. Ion Transport in the EMITFSI/PVDF System at Different Temperatures: A Molecular Dynamics Simulation. ACS OMEGA 2022; 7:9333-9342. [PMID: 35356691 PMCID: PMC8945056 DOI: 10.1021/acsomega.1c06160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 02/02/2022] [Indexed: 05/13/2023]
Abstract
We used all-atom molecular dynamics simulations to study the ion transport in the 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide/poly(vinylidene fluoride) (EMITFSI/PVDF) system with 40.05 wt % EMITFSI at different temperatures. The glass-transition temperature (T g = 204 K) of this system shows a good agreement with the experimental value (200 K). With the increase of temperature, the peaks of the pair correlation function show an increasing trend. Interestingly, the coordination numbers of ion pairs and the degree of independent ion motion are mainly affected by the binding energy between ion pairs as the temperature increases. In addition, the ion transport properties with increasing temperature can be studied by the ion-pair relaxation times, ion-pair lifetimes, and diffusion coefficients. The simulation results illustrate that the ion transport is intensified. Especially, the cations can always diffuse faster than the anions. The power law shows that mobilities of anions and cations are seen to exhibit a "superionic" behavior. With the increase of temperature, transference numbers of anions decrease first and then increase and transference numbers of cations show the opposite changes; ionic conductivity increases gradually; and viscosity decreases gradually, indicating that the diffusion resistance of ions decreases. In general, after adding PVDF into the EMITFSI system, the glass-transition temperature and viscosity increase, the ionic conductivity and degree of independent ion motion decrease, and diffusion coefficients of cations decrease faster than those of the anions.
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Affiliation(s)
- Minghe Qu
- Molecules
and Materials Computation Institute, School of Chemistry and Chemical
Engineering, Nanjing University of Science
and Technology, Nanjing 210094, P. R. China
| | - Shenshen Li
- Molecules
and Materials Computation Institute, School of Chemistry and Chemical
Engineering, Nanjing University of Science
and Technology, Nanjing 210094, P. R. China
| | - Jian Chen
- Chuannan
Machinery Manufacturing Plant, Luzhou 646000, P. R. China
| | - Yunqin Xiao
- Molecules
and Materials Computation Institute, School of Chemistry and Chemical
Engineering, Nanjing University of Science
and Technology, Nanjing 210094, P. R. China
- Science
and Technology on Aerospace Chemical Power Laboratory, Hubei Institute of Aerospace Chemical Technology, Xiangyang 441003, P. R. China
| | - Jijun Xiao
- Molecules
and Materials Computation Institute, School of Chemistry and Chemical
Engineering, Nanjing University of Science
and Technology, Nanjing 210094, P. R. China
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10
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Yang K, Liu D, Qian Z, Jiang D, Wang R. Computational Auxiliary for the Progress of Sodium-Ion Solid-State Electrolytes. ACS NANO 2021; 15:17232-17246. [PMID: 34705436 DOI: 10.1021/acsnano.1c07476] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
All-solid-state sodium batteries (ASSBs) have attracted ever-increasing attention due to their enhanced safety, high energy density, and the abundance of raw materials. One of the remaining key issues for the practical ASSB is the lack of good superionic and electrochemical stable solid-state electrolytes (SEs). Design and manufacturing specific functional materials used as high-performance SEs require an in-depth understanding of the transport mechanisms and electrochemical properties of fast sodium-ion conductors on an atomic level. On account of the continuous progress and development of computing and programming techniques, the advanced computational tools provide a powerful and convenient approach to exploit particular functional materials to achieve that aim. Herein, this review primarily focuses on the advanced computational methods and ion migration mechanisms of SEs. Second, we overview the recent progress on state-of-the-art solid sodium-ion conductors, including Na-β-alumina, sulfide-type, NASICON-type, and antiperovskite-type sodium-ion SEs. Finally, we outline the current challenges and future opportunities. Particularly, this review highlights the contributions of the computational studies and their complementarity with experiments in accelerating the study progress of high-performance sodium-ion SEs for ASSBs.
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Affiliation(s)
- Kaishuai Yang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Dayong Liu
- Key Laboratory of Materials Physics, Institute of Solid State Physics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
| | - Zhengfang Qian
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Dongting Jiang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
| | - Renheng Wang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
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11
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Ma M, Fu Y. Electromechanical response of lamellar forming ionic diblock copolymer thin films. Chem Phys Lett 2021. [DOI: 10.1016/j.cplett.2021.138817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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12
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Tekell MC, Kumar SK. Structure and Dynamics of Stockmayer Polymer Electrolyte. Macromolecules 2021. [DOI: 10.1021/acs.macromol.1c00850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Marshall C. Tekell
- Department of Chemical Engineering, Columbia University, New York, New York 10027, United States
| | - Sanat K. Kumar
- Department of Chemical Engineering, Columbia University, New York, New York 10027, United States
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13
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Bonilla MR, García Daza FA, Ranque P, Aguesse F, Carrasco J, Akhmatskaya E. Unveiling Interfacial Li-Ion Dynamics in Li 7La 3Zr 2O 12/PEO(LiTFSI) Composite Polymer-Ceramic Solid Electrolytes for All-Solid-State Lithium Batteries. ACS APPLIED MATERIALS & INTERFACES 2021; 13:30653-30667. [PMID: 34161063 DOI: 10.1021/acsami.1c07029] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Unlocking the full potential of solid-state electrolytes (SSEs) is key to enabling safer and more-energy dense technologies than today's Li-ion batteries. In particular, composite materials comprising a conductive, flexible polymer matrix embedding ceramic filler particles are emerging as a good strategy to provide the combination of conductivity and mechanical and chemical stability demanded from SSEs. However, the electrochemical activity of these materials strongly depends on their polymer/ceramic interfacial Li-ion dynamics at the molecular scale, whose fundamental understanding remains elusive. While this interface has been explored for nonconductive ceramic fillers, atomistic modeling of interfaces involving a potentially more promising conductive ceramic filler is still lacking. We address this shortfall by employing molecular dynamics and enhanced Monte Carlo techniques to gain unprecedented insights into the interfacial Li-ion dynamics in a composite polymer-ceramic electrolyte, which integrates polyethylene oxide plus LiN(CF3SO2)2 lithium imide salt (LiTFSI), and Li-ion conductive cubic Li7La3Zr2O12 (LLZO) inclusions. Our simulations automatically produce the interfacial Li-ion distribution assumed in space-charge models and, for the first time, a long-range impact of the garnet surface on the Li-ion diffusivity is unveiled. Based on our calculations and experimental measurements of tensile strength and ionic conductivity, we are able to explain a previously reported drop in conductivity at a critical filler fraction well below the theoretical percolation threshold. Our results pave the way for the computational modeling of other conductive filler/polymer combinations and the rational design of composite SSEs.
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Affiliation(s)
- Mauricio R Bonilla
- BCAM-Basque Center for Applied Mathematics, Alameda de Mazarredo 14, E-48009 Bilbao, Spain
| | - Fabián A García Daza
- Department of Chemical Engineering and Analytical Science, The University of Manchester, M13 9PL Manchester, U.K
| | - Pierre Ranque
- Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, 01510 Vitoria-Gasteiz, Spain
| | - Frederic Aguesse
- Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, 01510 Vitoria-Gasteiz, Spain
| | - Javier Carrasco
- Centre for Cooperative Research on Alternative Energies (CIC energiGUNE), Basque Research and Technology Alliance (BRTA), Alava Technology Park, Albert Einstein 48, 01510 Vitoria-Gasteiz, Spain
| | - Elena Akhmatskaya
- BCAM-Basque Center for Applied Mathematics, Alameda de Mazarredo 14, E-48009 Bilbao, Spain
- IKERBASQUE, Basque Foundation for Science, Plaza Euskadi 5, 48009 Bilbao, Spain
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14
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Kadulkar S, Howard MP, Truskett TM, Ganesan V. Prediction and Optimization of Ion Transport Characteristics in Nanoparticle-Based Electrolytes Using Convolutional Neural Networks. J Phys Chem B 2021; 125:4838-4849. [PMID: 33914555 DOI: 10.1021/acs.jpcb.1c02004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We develop a convolutional neural network (CNN) model to predict the diffusivity of cations in nanoparticle-based electrolytes and use it to identify the characteristics of morphologies that exhibit optimal transport properties. The ground truth data are obtained from kinetic Monte Carlo (kMC) simulations of cation transport parametrized using a multiscale modeling strategy. We implement deep learning approaches to quantitatively link the diffusivity of cations to the spatial arrangement of the nanoparticles. We then integrate the trained CNN model with a topology optimization algorithm for accelerated discovery of nanoparticle morphologies that exhibit optimal cation diffusivities at a specified nanoparticle loading, and we investigate the ability of the CNN model to quantitatively account for the influence of interparticle spatial correlations on cation diffusivity. Finally, by using data-driven approaches, we explore how simple descriptors of nanoparticle morphology correlate with cation diffusivity, thus providing a physical rationale for the observed optimal microstructures. The results of this study highlight the capability of CNNs to serve as surrogate models for structure-property relationships in composites with monodisperse spherical particles, which can in turn be used with inverse methods to discover morphologies that produce optimal target properties.
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Affiliation(s)
- Sanket Kadulkar
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Michael P Howard
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Thomas M Truskett
- McKetta Department of Chemical Engineering and Department of Physics, University of Texas at Austin, Austin, Texas 78712, United States
| | - Venkat Ganesan
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
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15
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Magdău IB, Miller TF. Machine Learning Solvation Environments in Conductive Polymers: Application to ProDOT-2Hex with Solvent Swelling. Macromolecules 2021. [DOI: 10.1021/acs.macromol.0c02132] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Ioan-Bogdan Magdău
- Division of Chemistry & Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Thomas F. Miller
- Division of Chemistry & Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
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16
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Matsuoka R, Shibata M, Matsuo K, Sai R, Tsutsumi H, Fujii K, Katayama Y. Importance of Lithium Coordination Structure to Lithium-Ion Transport in Polyether Electrolytes with Cyanoethoxy Side Chains: An Experimental and Theoretical Approach. Macromolecules 2020. [DOI: 10.1021/acs.macromol.0c01634] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Riho Matsuoka
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
| | - Masayuki Shibata
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
| | - Kousuke Matsuo
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
| | - Ryansu Sai
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
| | - Hiromori Tsutsumi
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
| | - Kenta Fujii
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
| | - Yu Katayama
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai, Ube 755-8611, Japan
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17
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Wheatle BK, Fuentes EF, Lynd NA, Ganesan V. Design of Polymer Blend Electrolytes through a Machine Learning Approach. Macromolecules 2020. [DOI: 10.1021/acs.macromol.0c01547] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Bill K. Wheatle
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin 78712, Texas, United States
| | - Erick F. Fuentes
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin 78712, Texas, United States
| | - Nathaniel A. Lynd
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin 78712, Texas, United States
| | - Venkat Ganesan
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin 78712, Texas, United States
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18
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Zhang Z, Nasrabadi AT, Aryal D, Ganesan V. Mechanisms of Ion Transport in Lithium Salt-Doped Polymeric Ionic Liquid Electrolytes. Macromolecules 2020. [DOI: 10.1021/acs.macromol.0c01444] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Zidan Zhang
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Amir T. Nasrabadi
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Dipak Aryal
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Venkat Ganesan
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
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19
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Haghkhah H, Ghalami Choobar B, Amjad-Iranagh S. Effect of salt concentration on properties of mixed carbonate-based electrolyte for Li-ion batteries: a molecular dynamics simulation study. J Mol Model 2020; 26:220. [PMID: 32740770 DOI: 10.1007/s00894-020-04464-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Accepted: 07/06/2020] [Indexed: 12/18/2022]
Abstract
In this work, a computational framework is proposed by utilizing molecular dynamics simulation to explore the existing relation between molecular structure and ionic conductivity of the electrolyte system [LiPF6+(EC+DMC 1:1)] consisting of a mixture of cyclic ethylene carbonate (EC) and acyclic dimethyl carbonate (DMC) solvents and lithium hexafluorophosphate (LiPF6) salt to propose as a novel mixed organic solvent-based electrolytes to promote the performance of lithium-ion batteries (LIBs). To acquire a clear understanding of the structural and transport properties of the designed electrolytes, quantum chemistry (QC) calculations and molecular dynamics (MD) simulation are used. In the first step, the accurate molecular structures of the studied electrolytes in addition to their corresponding atomic partial charges are evaluated. The MD simulations are performed at 330 K varying the LiPF6 concentration (0.5 M to 2.2 M). Analysis of the obtained results indicated that ionic diffusivity and conductivity of the electrolytes are dependent on the structure of solvated ions and lithium salt (LiPF6) concentration. It is found that the obtained MD simulation results are in reasonable agreement with experimental results. Graphical abstract A representation of dependence of transport properties of electrolyte system [LiPF6 +(EC+DMC 1:1)] as function of salt concentration to be used in Lithium-ion batteries (LIBs).
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Affiliation(s)
- Hasty Haghkhah
- Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Behnam Ghalami Choobar
- Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Sepideh Amjad-Iranagh
- Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
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20
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Zou Z, Li Y, Lu Z, Wang D, Cui Y, Guo B, Li Y, Liang X, Feng J, Li H, Nan CW, Armand M, Chen L, Xu K, Shi S. Mobile Ions in Composite Solids. Chem Rev 2020; 120:4169-4221. [DOI: 10.1021/acs.chemrev.9b00760] [Citation(s) in RCA: 116] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Zheyi Zou
- State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
| | - Yajie Li
- State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
| | - Ziheng Lu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Da Wang
- State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
| | - Yanhua Cui
- Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621000, China
| | - Bingkun Guo
- Materials Genome Institute, Shanghai University, Shanghai 200444, China
| | - Yuanji Li
- State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
| | - Xinmiao Liang
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China
| | - Jiwen Feng
- Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China
| | - Hong Li
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Ce-Wen Nan
- School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China
| | - Michel Armand
- Electrical Energy Storage Department, CIC Energigune, Parque Technológico de Álava, C/Albert Einstein 48, E-01510 Miñano, Àlava, Spain
| | - Liquan Chen
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Kang Xu
- Energy Storage Branch, Energy and Biotechnology Division, Sensor and Electronics Directorate, U.S. Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783-1197, United States
| | - Siqi Shi
- State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, Shanghai University, Shanghai 200444, China
- Materials Genome Institute, Shanghai University, Shanghai 200444, China
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21
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Dielectric polarization and relaxation processes of the lithium-ion conducting PEO/PVDF blend matrix-based electrolytes: effect of TiO2 nanofiller. SN APPLIED SCIENCES 2020. [DOI: 10.1007/s42452-020-2656-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
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22
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Wheatle BK, Lynd NA, Ganesan V. Effect of Host Incompatibility and Polarity Contrast on Ion Transport in Ternary Polymer-Polymer-Salt Blend Electrolytes. Macromolecules 2020. [DOI: 10.1021/acs.macromol.9b02510] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Bill K. Wheatle
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712-1589, United States
| | - Nathaniel A. Lynd
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712-1589, United States
| | - Venkat Ganesan
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712-1589, United States
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23
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Seo Y, Shen KH, Brown JR, Hall LM. Role of Solvation on Diffusion of Ions in Diblock Copolymers: Understanding the Molecular Weight Effect through Modeling. J Am Chem Soc 2019; 141:18455-18466. [PMID: 31674178 DOI: 10.1021/jacs.9b07227] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Youngmi Seo
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, Ohio 43210, United States
| | - Kuan-Hsuan Shen
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, Ohio 43210, United States
| | - Jonathan R. Brown
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, Ohio 43210, United States
| | - Lisa M. Hall
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, Ohio 43210, United States
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24
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Wheatle BK, Fuentes EF, Lynd NA, Ganesan V. Influence of Host Polarity on Correlating Salt Concentration, Molecular Weight, and Molar Conductivity in Polymer Electrolytes. ACS Macro Lett 2019; 8:888-892. [PMID: 35619490 DOI: 10.1021/acsmacrolett.9b00317] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
We use coarse-grained molecular dynamics simulations to study the effect of salt concentration and host polymer molecular weight on ion transport in polymer electrolytes. We find that increasing salt concentration or molecular weight similarly slows polymer dynamics across a wide range of host polarities, and that the resulting relaxation times display a correlation to the product of the salt concentration and polymer molecular weight. However, we find that molar conductivity only decreases with polymer dynamics at high polarities but is uncorrelated with the latter at low polarities. We attribute such differences to the variation in ionic aggregation between high and low polarity electrolytes. At low polarity, ionic dissociation significantly increases with molecular weight and salt concentration, offsetting the slowdown in polymer dynamics and yielding the observed insensitivity of molar conductivity. However, at high polarity, ions are mostly dissociated, independent of either molecular weight or salt concentration, thereby strongly coupling molar conductivity to polymer dynamics.
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Affiliation(s)
- Bill K. Wheatle
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Erick F. Fuentes
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Nathaniel A. Lynd
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Center for Dynamics and Control of Materials, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Venkat Ganesan
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Center for Dynamics and Control of Materials, The University of Texas at Austin, Austin, Texas 78712, United States
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25
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Vergadou N, Theodorou DN. Molecular Modeling Investigations of Sorption and Diffusion of Small Molecules in Glassy Polymers. MEMBRANES 2019; 9:E98. [PMID: 31398889 PMCID: PMC6723301 DOI: 10.3390/membranes9080098] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 07/22/2019] [Accepted: 07/23/2019] [Indexed: 11/16/2022]
Abstract
With a wide range of applications, from energy and environmental engineering, such as in gas separations and water purification, to biomedical engineering and packaging, glassy polymeric materials remain in the core of novel membrane and state-of the art barrier technologies. This review focuses on molecular simulation methodologies implemented for the study of sorption and diffusion of small molecules in dense glassy polymeric systems. Basic concepts are introduced and systematic methods for the generation of realistic polymer configurations are briefly presented. Challenges related to the long length and time scale phenomena that govern the permeation process in the glassy polymer matrix are described and molecular simulation approaches developed to address the multiscale problem at hand are discussed.
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Affiliation(s)
- Niki Vergadou
- Molecular Thermodynamics and Modelling of Materials Laboratory, Institute of Nanoscience and Nanotechnology, National Center for Scientific Research Demokritos, Aghia Paraskevi Attikis, GR-15310 Athens, Greece.
| | - Doros N Theodorou
- School of Chemical Engineering, National Technical University of Athens, GR 15780 Athens, Greece
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26
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Franco AA, Rucci A, Brandell D, Frayret C, Gaberscek M, Jankowski P, Johansson P. Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality? Chem Rev 2019; 119:4569-4627. [PMID: 30859816 PMCID: PMC6460402 DOI: 10.1021/acs.chemrev.8b00239] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Indexed: 11/30/2022]
Abstract
This review addresses concepts, approaches, tools, and outcomes of multiscale modeling used to design and optimize the current and next generation rechargeable battery cells. Different kinds of multiscale models are discussed and demystified with a particular emphasis on methodological aspects. The outcome is compared both to results of other modeling strategies as well as to the vast pool of experimental data available. Finally, the main challenges remaining and future developments are discussed.
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Affiliation(s)
- Alejandro A. Franco
- Laboratoire
de Réactivité et Chimie des Solides (LRCS), CNRS UMR
7314, Université de Picardie Jules
Verne, Hub de l’Energie,
15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Réseau
sur le Stockage Electrochimique de l’Energie (RS2E), CNRS FR 3459, Hub de l’Energie,
15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- ALISTORE-European
Research Institute, CNRS
FR 3104, Hub de l’Energie, 15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Institut
Universitaire de France, 103 boulevard Saint Michel, 75005 Paris, France
| | - Alexis Rucci
- Laboratoire
de Réactivité et Chimie des Solides (LRCS), CNRS UMR
7314, Université de Picardie Jules
Verne, Hub de l’Energie,
15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Réseau
sur le Stockage Electrochimique de l’Energie (RS2E), CNRS FR 3459, Hub de l’Energie,
15 Rue Baudelocque, 80039 Amiens Cedex 1, France
| | - Daniel Brandell
- ALISTORE-European
Research Institute, CNRS
FR 3104, Hub de l’Energie, 15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Department
of Chemistry − Ångström
Laboratory, Box 538, SE-75121 Uppsala, Sweden
| | - Christine Frayret
- Laboratoire
de Réactivité et Chimie des Solides (LRCS), CNRS UMR
7314, Université de Picardie Jules
Verne, Hub de l’Energie,
15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Réseau
sur le Stockage Electrochimique de l’Energie (RS2E), CNRS FR 3459, Hub de l’Energie,
15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- ALISTORE-European
Research Institute, CNRS
FR 3104, Hub de l’Energie, 15 Rue Baudelocque, 80039 Amiens Cedex 1, France
| | - Miran Gaberscek
- ALISTORE-European
Research Institute, CNRS
FR 3104, Hub de l’Energie, 15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Department
for Materials Chemistry, National Institute
of Chemistry, Hajdrihova
19, SI-1000 Ljubljana, Slovenia
| | - Piotr Jankowski
- ALISTORE-European
Research Institute, CNRS
FR 3104, Hub de l’Energie, 15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Department
of Physics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden
- Faculty
of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland
| | - Patrik Johansson
- ALISTORE-European
Research Institute, CNRS
FR 3104, Hub de l’Energie, 15 Rue Baudelocque, 80039 Amiens Cedex 1, France
- Department
of Physics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden
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27
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Xiao Z, Zhou B, Wang J, Zuo C, He D, Xie X, Xue Z. PEO-based electrolytes blended with star polymers with precisely imprinted polymeric pseudo-crown ether cavities for alkali metal ion batteries. J Memb Sci 2019. [DOI: 10.1016/j.memsci.2019.01.051] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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28
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Patra S, Thakur P, Soman B, Puthirath AB, Ajayan PM, Mogurampelly S, Karthik Chethan V, Narayanan TN. Mechanistic insight into the improved Li ion conductivity of solid polymer electrolytes. RSC Adv 2019; 9:38646-38657. [PMID: 35540225 PMCID: PMC9075847 DOI: 10.1039/c9ra08003a] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 11/20/2019] [Indexed: 01/06/2023] Open
Abstract
Polymer based solid electrolytes (SEs) are envisaged as futuristic components of safer solid state energy devices. But the semi-crystalline nature and slow dynamics of the host polymer matrix are found to hamper the ion transport through the solid polymer network and hence solid state devices are still far beyond the scope of practical application. In this study, we unravel the synergistic roles of Li salt (LiClO4) and two different polymers – polyethylene oxide (PEO) and polydimethyl siloxane (PDMS), in the Li ion transport through their solid blend based electrolyte. A detailed study using dielectric spectroscopy and thermo-mechanical analysis is conducted to understand the tunability of the PEO chain dynamics with LiClO4 and the mechanism of hopping of Li ions by forming ion pairs with oxygen dipoles on the PEO backbone is established. Despite the lack of PDMS's capability to solvate ions and promote ion transport directly, its proper mixing within the PEO host matrix is demonstrated to enhance ion transport due to the influence of PDMS on the segmental dynamics of PEO. A detailed molecular dynamics study supported by experimental validation suggests that even inert polymers can affect the dynamics of the active host matrix and increase ion transport, leading to next generation high ionic conductivity solid matrices, and opens new avenues in designing polymer based transparent electrolytes. The studies shown here prove that both the Li salt and ‘inert-polymer’ mixing have paramount importance in the tunability of Li ion conductivity in solid electrolytes for batteries.![]()
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Affiliation(s)
- Sudeshna Patra
- Tata Institute of Fundamental Research – Hyderabad
- Hyderabad-500107
- India
| | - Pallavi Thakur
- Tata Institute of Fundamental Research – Hyderabad
- Hyderabad-500107
- India
| | - Bhaskar Soman
- Tata Institute of Fundamental Research – Hyderabad
- Hyderabad-500107
- India
| | - Anand B. Puthirath
- Tata Institute of Fundamental Research – Hyderabad
- Hyderabad-500107
- India
- Department of Materials Science and Nanoengineering
- Rice University
| | - Pulickel M. Ajayan
- Department of Materials Science and Nanoengineering
- Rice University
- Houston
- USA
| | | | - V. Karthik Chethan
- Department of Chemical Engineering
- BITS Pilani Hyderabad Campus
- Hyderabad-500078
- India
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29
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Kwon SJ, Jung BM, Kim T, Byun J, Lee J, Lee SB, Choi UH. Influence of Al2O3 Nanowires on Ion Transport in Nanocomposite Solid Polymer Electrolytes. Macromolecules 2018. [DOI: 10.1021/acs.macromol.8b01603] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Suk Jin Kwon
- Functional Composites Department, Korea Institute of Materials Science, Changwon 51508, Korea
| | - Byung Mun Jung
- Functional Composites Department, Korea Institute of Materials Science, Changwon 51508, Korea
| | - Taehoon Kim
- Functional Composites Department, Korea Institute of Materials Science, Changwon 51508, Korea
| | - Jinho Byun
- Department of Physics, Pusan National University, Busan 46241, Korea
| | - Jaekwang Lee
- Department of Physics, Pusan National University, Busan 46241, Korea
| | - Sang Bok Lee
- Functional Composites Department, Korea Institute of Materials Science, Changwon 51508, Korea
| | - U Hyeok Choi
- Department of Polymer Engineering, Pukyong National University, Busan 48547, Korea
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30
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Peripherally functionalized based dendrimers as the template for synthesis of silver nanoparticles and investigation the affecting factors on their properties. Polym Bull (Berl) 2018. [DOI: 10.1007/s00289-018-2629-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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31
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Affiliation(s)
- Santosh Mogurampelly
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
- Institute for
Computational Molecular Science (ICMS) and Temple Materials Institute
(TMI), 1925 North 12th St., Philadelphia, Pennsylvania 19122, United States
| | - Venkat Ganesan
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
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32
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Wheatle BK, Lynd NA, Ganesan V. Effect of Polymer Polarity on Ion Transport: A Competition between Ion Aggregation and Polymer Segmental Dynamics. ACS Macro Lett 2018; 7:1149-1154. [PMID: 35651266 DOI: 10.1021/acsmacrolett.8b00594] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In this work, we use computer simulations to demonstrate that there may be limits to which polymer polarity alone can be used to influence the ionic conductivity of salt-doped polymer electrolytes. Specifically, we use coarse-grained molecular dynamics simulations to probe the effect of the polarity of the polymer electrolyte upon ion mobilities and conductivities of dissolved salts. At low polymer polarities, increasing the polymer dielectric constant reduces ionic aggregation and the resultant correlated ionic motion, and increases the ionic conductivity. At higher polymer polarities, polymer-polymer and polymer-ion interactions slows polymer segmental dynamics, leading to a reduction in the conductivity of the electrolyte. As a consequence, ionic conductivity achieves an optimum at an intermediate polymer polarity.
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Affiliation(s)
- Bill K. Wheatle
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, United States
| | - Nathaniel A. Lynd
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, United States
| | - Venkat Ganesan
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, United States
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33
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Affiliation(s)
- Kevin J. Hou
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Jian Qin
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
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34
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Kumar SK, Ganesan V, Riggleman RA. Perspective: Outstanding theoretical questions in polymer-nanoparticle hybrids. J Chem Phys 2018; 147:020901. [PMID: 28711055 DOI: 10.1063/1.4990501] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
This topical review discusses the theoretical progress made in the field of polymer nanocomposites, i.e., hybrid materials created by mixing (typically inorganic) nanoparticles (NPs) with organic polymers. It primarily focuses on the outstanding issues in this field and is structured around five separate topics: (i) the synthesis of functionalized nanoparticles; (ii) their phase behavior when mixed with a homopolymer matrix and their assembly into well-defined superstructures; (iii) the role of processing on the structures realized by these hybrid materials and the role of the mobilities of the different constituents; (iv) the role of external fields (electric, magnetic) in the active assembly of the NPs; and (v) the engineering properties that result and the factors that control them. While the most is known about topic (ii), we believe that significant progress needs to be made in the other four topics before the practical promise offered by these materials can be realized. This review delineates the most pressing issues on these topics and poses specific questions that we believe need to be addressed in the immediate future.
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Affiliation(s)
- Sanat K Kumar
- Department of Chemical Engineering, Columbia University, New York, New York 10025, USA
| | - Venkat Ganesan
- Department of Chemical Engineering, University of Texas, Austin, Texas 78712, USA
| | - Robert A Riggleman
- Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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35
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Wang Y, Shi L, Zhou H, Wang Z, Li R, Zhu J, Qiu Z, Zhao Y, Zhang M, Yuan S. Polyethylene separators modified by ultrathin hybrid films enhancing lithium ion transport performance and Li-metal anode stability. Electrochim Acta 2018. [DOI: 10.1016/j.electacta.2017.10.120] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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36
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Wheatle BK, Keith JR, Mogurampelly S, Lynd NA, Ganesan V. Influence of Dielectric Constant on Ionic Transport in Polyether-Based Electrolytes. ACS Macro Lett 2017; 6:1362-1367. [PMID: 35650818 DOI: 10.1021/acsmacrolett.7b00810] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
We use all-atom molecular dynamics simulations to study the effect of polymer polarity, as quantified by the dielectric constant, on the transport properties of lithium bis(trifluoromethylsulfonyl)imide (LiTFSI) doped polyethers. Our results indicate that increasing the host dielectric constant leads to a decrease in ionic cluster sizes and reduction in correlated motion of oppositely charged ions. This causes the ionic conductivity to more closely approach the Nernst-Einstein limit in which ionic conductivity is only limited by the diffusivities of Li+ and TFSI-. We compare our results to recent experimental observations which demonstrate similar qualitative trends in host polarity.
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Affiliation(s)
- Bill K. Wheatle
- McKetta
Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78705, United States
| | - Jordan R. Keith
- McKetta
Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78705, United States
| | - Santosh Mogurampelly
- Institute
for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Nathaniel A. Lynd
- McKetta
Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78705, United States
| | - Venkat Ganesan
- McKetta
Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78705, United States
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37
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Choudhary S, Sengwa R. Effects of different inorganic nanoparticles on the structural, dielectric and ion transportation properties of polymers blend based nanocomposite solid polymer electrolytes. Electrochim Acta 2017. [DOI: 10.1016/j.electacta.2017.07.051] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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38
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Sethuraman V, Mogurampelly S, Ganesan V. Multiscale Simulations of Lamellar PS–PEO Block Copolymers Doped with LiPF6 Ions. Macromolecules 2017. [DOI: 10.1021/acs.macromol.7b00125] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Vaidyanathan Sethuraman
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Santosh Mogurampelly
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Venkat Ganesan
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
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39
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Mogurampelly S, Ganesan V. Structure and mechanisms underlying ion transport in ternary polymer electrolytes containing ionic liquids. J Chem Phys 2017; 146:074902. [DOI: 10.1063/1.4976131] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Affiliation(s)
- Santosh Mogurampelly
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, USA
| | - Venkat Ganesan
- Department of Chemical Engineering and Institute for Computational and Engineering Sciences, University of Texas at Austin, Austin, Texas 78712, USA
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40
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Mogurampelly S, Sethuraman V, Pryamitsyn V, Ganesan V. Influence of nanoparticle-ion and nanoparticle-polymer interactions on ion transport and viscoelastic properties of polymer electrolytes. J Chem Phys 2016; 144:154905. [DOI: 10.1063/1.4946047] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
- Santosh Mogurampelly
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - Victor Pryamitsyn
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, USA
| | - Venkat Ganesan
- Department of Chemical Engineering and Institute for Computational and Engineering Sciences, University of Texas at Austin, Austin, Texas 78712, USA
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41
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Mogurampelly S, Borodin O, Ganesan V. Computer Simulations of Ion Transport in Polymer Electrolyte Membranes. Annu Rev Chem Biomol Eng 2016; 7:349-71. [PMID: 27070764 DOI: 10.1146/annurev-chembioeng-080615-034655] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Understanding the mechanisms and optimizing ion transport in polymer membranes have been the subject of active research for more than three decades. We present an overview of the progress and challenges involved with the modeling and simulation aspects of the ion transport properties of polymer membranes. We are concerned mainly with atomistic and coarser level simulation studies and discuss some salient work in the context of pure binary and single ion conducting polymer electrolytes, polymer nanocomposites, block copolymers, and ionic liquid-based hybrid electrolytes. We conclude with an outlook highlighting future directions.
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Affiliation(s)
- Santosh Mogurampelly
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712;
| | - Oleg Borodin
- Electrochemistry Branch, RDRL-SED-C, US Army Research Laboratory, Adelphi, Maryland 20783-1138;
| | - Venkat Ganesan
- Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712;
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42
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Sethuraman V, Pryamitsyn V, Ganesan V. Influence of molecular weight and degree of segregation on local segmental dynamics of ordered block copolymers. ACTA ACUST UNITED AC 2016. [DOI: 10.1002/polb.23985] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
| | - Victor Pryamitsyn
- Department of Chemical Engineering; University of Texas at Austin; Austin Texas 78712
| | - Venkat Ganesan
- Department of Chemical Engineering; University of Texas at Austin; Austin Texas 78712
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43
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Cardoso J, Mayrén A, Romero-Ibarra IC, Nava DP, Vazquez-Arenas J. Nanocomposite polymer electrolytes based on poly(poly(ethylene glycol)methacrylate), MMT or ZSM-5 formulated with LiTFSI and PYR11TFSI for Li-ion batteries. RSC Adv 2016. [DOI: 10.1039/c5ra20620k] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Novel poly(poly(ethylenglycol)methacrylate) nanocomposite electrolytes based on montmorillonite and zeolite; and functionalized with LiTFSI and PYR11TFSI are synthetized for Li-ion batteries.
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Affiliation(s)
- J. Cardoso
- Physics Department
- Universidad Autónoma Metropolitana-Iztapalapa
- D.F. 09340
- Mexico
| | - A. Mayrén
- Departamento de Química
- Universidad Autónoma Metropolitana-Iztapalapa
- D.F
- Mexico
| | - I. C. Romero-Ibarra
- Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas
- Instituto Politécnico Nacional
- D.F
- Mexico
| | - D. P. Nava
- Physics Department
- Universidad Autónoma Metropolitana-Iztapalapa
- D.F. 09340
- Mexico
| | - J. Vazquez-Arenas
- Departamento de Química
- Universidad Autónoma Metropolitana-Iztapalapa
- D.F
- Mexico
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Webb MA, Savoie BM, Wang ZG, Miller III TF. Chemically Specific Dynamic Bond Percolation Model for Ion Transport in Polymer Electrolytes. Macromolecules 2015. [DOI: 10.1021/acs.macromol.5b01437] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Michael A. Webb
- Division of Chemistry and
Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Brett M. Savoie
- Division of Chemistry and
Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Zhen-Gang Wang
- Division of Chemistry and
Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Thomas F. Miller III
- Division of Chemistry and
Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
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