1
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Scaglione N, Avila J, Padua A, Costa Gomes M. Tailored carbon dioxide capacity in carboxylate-based ionic liquids. Faraday Discuss 2024; 253:233-250. [PMID: 39099430 DOI: 10.1039/d4fd00052h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2024]
Abstract
We have used a library of thermally stable tetraalkylphosphonium carboxylate ionic liquids that were easily prepared from available carboxylic acids. Depending on the pKa in water of the precursor acids, the resulting ionic liquids either dissolve or reversibly chemically absorb CO2, with some exhibiting notable gas capacities, reaching a CO2 mole fraction of 0.2 at 1 bar and 343 K. While equilibrium constants and ionic liquid capacities generally correlate with the pKa of the acids, certain exceptions underscore the influence of liquid structure and physical properties of the ionic liquids, elucidated through molecular dynamics simulations and density functional theory calculations. Unlike the trends observed in other CO2-absorbing ILs, phosphonium carboxylates do not experience increased viscosity upon gas absorption; instead, enhanced diffusivities are observed, facilitating efficient gas-liquid transfer.
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Affiliation(s)
- Nicolas Scaglione
- Laboratoire de Chimie de l'ENS Lyon, CNRS, Université de Lyon, 46 allée d'Italie, 69364 Lyon, France.
| | - Jocasta Avila
- Laboratoire de Chimie de l'ENS Lyon, CNRS, Université de Lyon, 46 allée d'Italie, 69364 Lyon, France.
| | - Agilio Padua
- Laboratoire de Chimie de l'ENS Lyon, CNRS, Université de Lyon, 46 allée d'Italie, 69364 Lyon, France.
| | - Margarida Costa Gomes
- Laboratoire de Chimie de l'ENS Lyon, CNRS, Université de Lyon, 46 allée d'Italie, 69364 Lyon, France.
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2
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Wasik D, Vicent-Luna JM, Rezaie S, Luna-Triguero A, Vlugt TJH, Calero S. The Impact of Metal Centers in the M-MOF-74 Series on Formic Acid Production. ACS APPLIED MATERIALS & INTERFACES 2024; 16:45006-45019. [PMID: 39141894 PMCID: PMC11367578 DOI: 10.1021/acsami.4c10678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/01/2024] [Accepted: 08/08/2024] [Indexed: 08/16/2024]
Abstract
The confinement effect of porous materials on the thermodynamical equilibrium of the CO2 hydrogenation reaction presents a cost-effective alternative to transition metal catalysts. In metal-organic frameworks, the type of metal center has a greater impact on the enhancement of formic acid production than the scale of confinement resulting from the pore size. The M-MOF-74 series enables a comprehensive study of how different metal centers affect HCOOH production, minimizing the effect of pore size. In this work, molecular simulations were used to analyze the adsorption of HCOOH and the CO2 hydrogenation reaction in M-MOF-74, where M = Ni, Cu, Co, Fe, Mn, Zn. We combine classical simulations and density functional theory calculations to gain insights into the mechanisms that govern the low coverage adsorption of HCOOH in the surrounding of the metal centers of M-MOF-74. The impact of metal centers on the HCOOH yield was assessed by Monte Carlo simulations in the grand-canonical ensemble, using gas-phase compositions of CO2, H2, and HCOOH at chemical equilibrium at 298.15-800 K, 1-60 bar. The performance of M-MOF-74 in HCOOH production follows the same order as the uptake and the heat of HCOOH adsorption: Ni > Co > Fe > Mn > Zn > Cu. Ni-MOF-74 increases the mole fraction of HCOOH by ca. 105 times compared to the gas phase at 298.15 K, 60 bar. Ni-MOF-74 has the potential to be more economically attractive for CO2 conversion than transition metal catalysts, achieving HCOOH production at concentrations comparable to the highest formate levels reported for transition metal catalysts and offering a more valuable molecular form of the product.
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Affiliation(s)
- Dominika
O. Wasik
- Materials
Simulation and Modelling, Department of Applied Physics and Science
Education, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands
- Eindhoven
Institute for Renewable Energy Systems, Eindhoven University of Technology,
PO Box 513, 5600 MB Eindhoven, The Netherlands
| | - José Manuel Vicent-Luna
- Materials
Simulation and Modelling, Department of Applied Physics and Science
Education, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands
| | - Shima Rezaie
- Energy
Technology, Department of Mechanical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands
| | - Azahara Luna-Triguero
- Eindhoven
Institute for Renewable Energy Systems, Eindhoven University of Technology,
PO Box 513, 5600 MB Eindhoven, The Netherlands
- Energy
Technology, Department of Mechanical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands
| | - Thijs J. H. Vlugt
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Sofía Calero
- Materials
Simulation and Modelling, Department of Applied Physics and Science
Education, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands
- Eindhoven
Institute for Renewable Energy Systems, Eindhoven University of Technology,
PO Box 513, 5600 MB Eindhoven, The Netherlands
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Kao YC, Wang YM, Yeh JY, Li SC, Wu KCW, Lin LC, Li YP. Tailoring parameters for QM/MM simulations: accurate modeling of adsorption and catalysis in zirconium-based metal-organic frameworks. Phys Chem Chem Phys 2024. [PMID: 39015995 DOI: 10.1039/d4cp00681j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
Quantum mechanics/molecular mechanics (QM/MM) simulations offer an efficient way to model reactions occurring in complex environments. This study introduces a specialized set of charge and Lennard-Jones parameters tailored for electrostatically embedded QM/MM calculations, aiming to accurately model both adsorption processes and catalytic reactions in zirconium-based metal-organic frameworks (Zr-MOFs). To validate our approach, we compare adsorption energies derived from QM/MM simulations against experimental results and Monte Carlo simulation outcomes. The developed parameters showcase the ability of QM/MM simulations to represent long-range electrostatic and van der Waals interactions faithfully. This capability is evidenced by the prediction of adsorption energies with a low root mean square error of 1.1 kcal mol-1 across a wide range of adsorbates. The practical applicability of our QM/MM model is further illustrated through the study of glucose isomerization and epimerization reactions catalyzed by two structurally distinct Zr-MOF catalysts, UiO-66 and MOF-808. Our QM/MM calculations closely align with experimental activation energies. Importantly, the parameter set introduced here is compatible with the widely used universal force field (UFF). Moreover, we thoroughly explore how the size of the cluster model and the choice of density functional theory (DFT) methodologies influence the simulation outcomes. This work provides an accurate and computationally efficient framework for modeling complex catalytic reactions within Zr-MOFs, contributing valuable insights into their mechanistic behaviors and facilitating further advancements in this dynamic area of research.
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Affiliation(s)
- Yu-Chi Kao
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
| | - Yi-Ming Wang
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
| | - Jyun-Yi Yeh
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
- International Graduate Program of Molecular Science and Technology (NTU-MST), National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - Shih-Cheng Li
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
| | - Kevin C-W Wu
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
- International Graduate Program of Molecular Science and Technology (NTU-MST), National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
- Department of Chemical Engineering and Materials Science, Yuan Ze University, Chung-Li, Taoyuan, Taiwan
| | - Li-Chiang Lin
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 151 West Woodruff Avenue, Columbus, OH, 43210-1350, USA
| | - Yi-Pei Li
- Department of Chemical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
- Taiwan International Graduate Program on Sustainable Chemical Science and Technology (TIGP-SCST), No. 128, Sec. 2, Academia Road, Taipei, 11529, Taiwan
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Corsini C, M Correa C, Scaglione N, Costa Gomes M, Padua A. How Do Deep Eutectic Solvents Form Porous Liquids? The Example of Methyltriphenylphosphonium Bromide: Glycerol and ZIF-8. J Phys Chem B 2024. [PMID: 38433612 DOI: 10.1021/acs.jpcb.3c08490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Porous liquids are new materials that provide permanent porosity in the liquid phase through the dispersion of nanoporous solid particles in a bulky solvent. Herein, we aim at understanding how new sustainable solvents such as deep eutectic solvent (DES) can be used to form porous stable suspensions for the capture of gases of interest for sustainable chemistry. The properties of an ionic DES, methyltriphenylphosphonium bromide/glycerol in a 1:3 molar composition, and its behavior at the interface with a metal-organic framework (MOF), ZIF-8, are here investigated by polarizable molecular dynamics simulations. The structural and dynamic properties of the DES are analyzed in the bulk liquid and in the interfacial regions with the MOF, namely, in the accessible cavities exposed at the surface. The porosity of the suspension is maintained, and it is caused not only by the Coulomb cohesive energy between cations and anions, which prevents the small anions from entering the pores, but also by the glycerol molecules not penetrating the small aperture of the ZIF-8 structure. This was further verified by simulating a system composed of glycerol and ZIF-8. Simulations with CO2 show its partition between the DES and the MOF, with higher concentrations registered in the MOF cavities.
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Affiliation(s)
- Chiara Corsini
- Laboratoire de Chimie de l'ENS Lyon, CNRS and Université de Lyon, 46 allée d'Italie, 69364 Lyon, France
| | - Cintia M Correa
- Laboratoire de Chimie de l'ENS Lyon, CNRS and Université de Lyon, 46 allée d'Italie, 69364 Lyon, France
| | - Nicolas Scaglione
- Laboratoire de Chimie de l'ENS Lyon, CNRS and Université de Lyon, 46 allée d'Italie, 69364 Lyon, France
| | - Margarida Costa Gomes
- Laboratoire de Chimie de l'ENS Lyon, CNRS and Université de Lyon, 46 allée d'Italie, 69364 Lyon, France
| | - Agilio Padua
- Laboratoire de Chimie de l'ENS Lyon, CNRS and Université de Lyon, 46 allée d'Italie, 69364 Lyon, France
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5
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Goeminne R, Vanduyfhuys L, Van Speybroeck V, Verstraelen T. DFT-Quality Adsorption Simulations in Metal-Organic Frameworks Enabled by Machine Learning Potentials. J Chem Theory Comput 2023; 19:6313-6325. [PMID: 37642314 DOI: 10.1021/acs.jctc.3c00495] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Nanoporous materials such as metal-organic frameworks (MOFs) have been extensively studied for their potential for adsorption and separation applications. In this respect, grand canonical Monte Carlo (GCMC) simulations have become a well-established tool for computational screenings of the adsorption properties of large sets of MOFs. However, their reliance on empirical force field potentials has limited the accuracy with which this tool can be applied to MOFs with challenging chemical environments such as open-metal sites. On the other hand, density-functional theory (DFT) is too computationally demanding to be routinely employed in GCMC simulations due to the excessive number of required function evaluations. Therefore, we propose in this paper a protocol for training machine learning potentials (MLPs) on a limited set of DFT intermolecular interaction energies (and forces) of CO2 in ZIF-8 and the open-metal site containing Mg-MOF-74, and use the MLPs to derive adsorption isotherms from first principles. We make use of the equivariant NequIP model which has demonstrated excellent data efficiency, and as such an error on the interaction energies below 0.2 kJ mol-1 per adsorbate in ZIF-8 was attained. Its use in GCMC simulations results in highly accurate adsorption isotherms and heats of adsorption. For Mg-MOF-74, a large dependence of the obtained results on the used dispersion correction was observed, where PBE-MBD performs the best. Lastly, to test the transferability of the MLP trained on ZIF-8, it was applied to ZIF-3, ZIF-4, and ZIF-6, which resulted in large deviations in the predicted adsorption isotherms and heats of adsorption. Only when explicitly training on data for all ZIFs, accurate adsorption properties were obtained. As the proposed methodology is widely applicable to guest adsorption in nanoporous materials, it opens up the possibility for training general-purpose MLPs to perform highly accurate investigations of guest adsorption.
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Affiliation(s)
- Ruben Goeminne
- Center for Molecular Modeling (CMM), Ghent Univeristy, Technologiepark 46, 9052 Zwijnaarde, Belgium
| | - Louis Vanduyfhuys
- Center for Molecular Modeling (CMM), Ghent Univeristy, Technologiepark 46, 9052 Zwijnaarde, Belgium
| | - Veronique Van Speybroeck
- Center for Molecular Modeling (CMM), Ghent Univeristy, Technologiepark 46, 9052 Zwijnaarde, Belgium
| | - Toon Verstraelen
- Center for Molecular Modeling (CMM), Ghent Univeristy, Technologiepark 46, 9052 Zwijnaarde, Belgium
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6
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Ashirov T, Fritz PW, Lauber Y, Avalos CE, Coskun A. Fully Conjugated Benzyne‐Derived Three‐Dimensional Porous Organic Polymers. Chemistry 2023; 29. [DOI: https:/doi.org/10.1002/chem.202301053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Indexed: 07/03/2024]
Abstract
AbstractPorous organic polymers (POPs) have gained tremendous attention owing to their chemical tunability, stability and high surface areas. Whereas there are several examples of fully conjugated two‐dimensional (2D) POPs, three‐dimensional (3D) ones are rather challenging to realize in the absence of structural templates. Herein, we report the base‐catalyzed direct synthesis of a fully conjugated 3D POPs, named benzyne‐derived polymers (BDPs), containing biphenylene and tetraphenylene moieties starting from a simple bisbenzyne precursor, which undergoes [2+2] and [2+2+2+2] cycloaddition reactions to form BDPs primarily composed of biphenylene and tetraphenylene moieties. The resulting polymers exhibited ultramicroporous structures with surface areas up to 544 m2 g−1 and very high CO2/N2 selectivities.
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Affiliation(s)
- Timur Ashirov
- Department of Chemistry University of Fribourg Chemin du Museé 9 1700 Fribourg Switzerland
| | - Patrick W. Fritz
- Department of Chemistry University of Fribourg Chemin du Museé 9 1700 Fribourg Switzerland
| | - Yanic Lauber
- Department of Chemistry University of Fribourg Chemin du Museé 9 1700 Fribourg Switzerland
| | - Claudia E. Avalos
- Institute of Chemical Sciences and Engineering École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland
- Department of Chemistry New York University New York, NY 10003 USA
| | - Ali Coskun
- Department of Chemistry University of Fribourg Chemin du Museé 9 1700 Fribourg Switzerland
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7
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Clark R, Ávila J, Costa Gomes M, Padua AAH. Solvation Environments in Porous Ionic Liquids Determine Selectivity in CO 2 Conversion to Cyclic Carbonates. J Phys Chem B 2023; 127:3266-3277. [PMID: 37011369 DOI: 10.1021/acs.jpcb.2c08788] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Porous ionic liquids, which are suspensions of nanoporous particles in ionic liquids that maintain permanent porosity, are effective and selective media for the conversion of styrene oxide into styrene carbonate, absorbing CO2 [Zhou et al. Chem. Commun. 2021, 57, 7922-7925]. Here we elucidate the mechanism of selectivity using polarizable molecular dynamics simulations, which provide a detailed view on the structure of the porous ionic liquid and on the local solvation environments of the reacting species. The porous ionic liquids studied are composed of tetradecyltrihexylphosphonium chloride, or [P66614]Cl, and the ZIF-8 zinc-methylimidazolate metal-organic framework (MOF). The CL&Pol polarizable force field was extended to represent epoxide and cyclic carbonate functional groups, allowing the ionic liquid, the reactants, and the MOF to be all represented by fully flexible, polarizable force fields, providing a detailed description of interactions. The presence of reactant and product molecules leads to changes in the structure of the ionic liquid, revealed by domain analysis. The structure of local solvation environments, namely, the arrangement of charged moieties and CO2 around the epoxide ring of the reactant molecules, clearly indicate ring-opening the reaction mechanism. The MOF acts as a reservoir of CO2 through its free volume. The solute molecules are found in the accessible outer cavities of the MOF, which promotes reaction of the epoxide with CO2 excluding other epoxide molecules, thereby preventing the formation of oligomers, which explains the selectivity toward conversion to cyclic carbonates.
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Affiliation(s)
- Ryan Clark
- Laboratoire de Chimie, École Normale Supérieure de Lyon and CNRS, 69342 Lyon, France
| | - Jocasta Ávila
- Laboratoire de Chimie, École Normale Supérieure de Lyon and CNRS, 69342 Lyon, France
| | - Margarida Costa Gomes
- Laboratoire de Chimie, École Normale Supérieure de Lyon and CNRS, 69342 Lyon, France
| | - Agilio A H Padua
- Laboratoire de Chimie, École Normale Supérieure de Lyon and CNRS, 69342 Lyon, France
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8
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Zheng B, Oliveira FL, Neumann Barros Ferreira R, Steiner M, Hamann H, Gu GX, Luan B. Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO 2's Chemisorption and Diffusion in Mg-MOF-74. ACS NANO 2023; 17:5579-5587. [PMID: 36883740 DOI: 10.1021/acsnano.2c11102] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Among various porous solids for gas separation and purification, metal-organic frameworks (MOFs) are promising materials that potentially combine high CO2 uptake and CO2/N2 selectivity. So far, within the hundreds of thousands of MOF structures known today, it remains a challenge to computationally identify the best suited species. First principle-based simulations of CO2 adsorption in MOFs would provide the necessary accuracy; however, they are impractical due to the high computational cost. Classical force field-based simulations would be computationally feasible; however, they do not provide sufficient accuracy. Thus, the entropy contribution that requires both accurate force fields and sufficiently long computing time for sampling is difficult to obtain in simulations. Here, we report quantum-informed machine-learning force fields (QMLFFs) for atomistic simulations of CO2 in MOFs. We demonstrate that the method has a much higher computational efficiency (∼1000×) than the first-principle one while maintaining the quantum-level accuracy. As a proof of concept, we show that the QMLFF-based molecular dynamics simulations of CO2 in Mg-MOF-74 can predict the binding free energy landscape and the diffusion coefficient close to experimental values. The combination of machine learning and atomistic simulation helps achieve more accurate and efficient in silico evaluations of the chemisorption and diffusion of gas molecules in MOFs.
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Affiliation(s)
- Bowen Zheng
- IBM Research, Yorktown Heights, New York 10598, United States
- Department of Mechanical Engineering, University of California, Berkeley, California 94720, United States
| | - Felipe Lopes Oliveira
- IBM Research, Av. República do Chile, 330, CEP 20031-170 Rio de Janeiro, RJ, Brazil
- Department of Organic Chemistry, Instituto de Química, Universidade Federal do Rio de Janeiro, CEP 21941-909 Rio de Janeiro, RJ, Brazil
| | | | - Mathias Steiner
- IBM Research, Av. República do Chile, 330, CEP 20031-170 Rio de Janeiro, RJ, Brazil
| | - Hendrik Hamann
- IBM Research, Yorktown Heights, New York 10598, United States
| | - Grace X Gu
- Department of Mechanical Engineering, University of California, Berkeley, California 94720, United States
| | - Binquan Luan
- IBM Research, Yorktown Heights, New York 10598, United States
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9
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Yang Y, Ibikunle IA, Sava Gallis DF, Sholl DS. Adapting UFF4MOF for Heterometallic Rare-Earth Metal-Organic Frameworks. ACS APPLIED MATERIALS & INTERFACES 2022; 14:54101-54110. [PMID: 36399402 DOI: 10.1021/acsami.2c16726] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Heterometallic metal-organic frameworks based on rare-earth metals (RE-MOFs) have potential in a number of applications where energy transfer between nearby metal atoms is required. This observation implies that it is important to understand the level of local mixing that is achieved between metals of different types during synthesis of RE-MOFs. Density functional theory calculations can give quantitative information on the relative energy of different configurations of RE-MOFs, but these calculations cannot be applied to the full range of medium- and long-range orderings that are possible in heterometallic materials. This limitation can be overcome using force field (FF)-based calculations if appropriate FFs are available. We show that an existing generic FF for MOFs, UFF4MOF, does not accurately predict energies of mixing in heterometallic Nd/Yb MOFs and introduce a modified FF to address this shortcoming. The resulting FF is used to explore metal orderings in large simulation volumes for a Nd/Yb MOF, illustrating the complexities that can arise in the structure of heterometallic RE-MOFs.
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Affiliation(s)
- Yuhan Yang
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0100, United States
| | - Ifayoyinsola A Ibikunle
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0100, United States
| | - Dorina F Sava Gallis
- Nanoscale Sciences Department, Sandia National Laboratories, Albuquerque, New Mexico 87185, United States
| | - David S Sholl
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0100, United States
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
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10
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Two-dimensional oxalamide based isostructural MOFs for CO2 capture. J SOLID STATE CHEM 2022. [DOI: 10.1016/j.jssc.2022.123778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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11
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Chen Y, Bai X, Liu D, Fu X, Yang Q. High-Throughput Computational Exploration of MOFs with Open Cu Sites for Adsorptive Separation of Hydrogen Isotopes. ACS APPLIED MATERIALS & INTERFACES 2022; 14:24980-24991. [PMID: 35603743 DOI: 10.1021/acsami.2c06966] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Effective separation of hydrogen isotopes still remains one of the extremely challenging tasks in industry. Compared to the present methods that are energy- and cost-intensive, quantum sieving technology based on nanostructured materials offers a more efficient alternative approach, where metal-organic frameworks (MOFs) featuring open metal sites (OMS) can serve as an ideal platform. Herein, a combination of periodic density functional theory (DFT) with dispersive correction and high-throughput molecular simulation was employed from thermodynamic viewpoints to explore the D2/H2 separation properties of 929 experimental MOFs bearing a copper-paddlewheel unit. The DFT calculations showed that there is a negligible rotational energy barrier for the molecule adsorbed at the OMS, and the movement of the Cu atoms along the Cu-Cu axis vector almost has no influence on the interaction energy. On the basis of the DFT results, a new force field with a proposed cutoff scheme was developed to accurately describe the strong isotope-OMS interaction. Under practical conditions (40 K and 1.0 bar), large-scale computational material screening demonstrated that the OMS interaction plays a more important role in highly selective materials and ignoring such interactions can lead to completely wrong identification of the most promising materials. Using the adsorption selectivity and adsorbent performance score as evaluation metrics, this work demonstrated that the materials with sql topology notably outperform many benchmark adsorbents reported so far.
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Affiliation(s)
- Yanling Chen
- State Key Laboratory of Organic-Inorganic Composites; Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Xingyang Bai
- State Key Laboratory of Organic-Inorganic Composites; Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Dahuan Liu
- State Key Laboratory of Organic-Inorganic Composites; Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Xiaolong Fu
- Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
| | - Qingyuan Yang
- State Key Laboratory of Organic-Inorganic Composites; Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
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12
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Ha NTT, Thao HT, Ha NN. Physisorption and chemisorption of CO2 on Fe-MIL-88B derivatives: Impact of the functional groups on the electronic properties and adsorption tendency - A theoretical investigation. J Mol Graph Model 2022; 112:108124. [DOI: 10.1016/j.jmgm.2022.108124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 01/08/2022] [Accepted: 01/10/2022] [Indexed: 11/30/2022]
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13
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Korolev VV, Nevolin YM, Manz TA, Protsenko PV. Parametrization of Nonbonded Force Field Terms for Metal-Organic Frameworks Using Machine Learning Approach. J Chem Inf Model 2021; 61:5774-5784. [PMID: 34787430 DOI: 10.1021/acs.jcim.1c01124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
The enormous structural and chemical diversity of metal-organic frameworks (MOFs) forces researchers to actively use simulation techniques as often as experiments. MOFs are widely known for their outstanding adsorption properties, so a precise description of the host-guest interactions is essential for high-throughput screening aimed at ranking the most promising candidates. However, highly accurate ab initio calculations cannot be routinely applied to model thousands of structures due to the demanding computational costs. Furthermore, methods based on force field (FF) parametrization suffer from low transferability. To resolve this accuracy-efficiency dilemma, we applied a machine learning (ML) approach: extreme gradient boosting. The trained models reproduced the atom-in-material quantities, including partial charges, polarizabilities, dispersion coefficients, quantum Drude oscillator, and electron cloud parameters, with accuracy similar to the reference data set. The aforementioned FF precursors make it possible to thoroughly describe noncovalent interactions typical for MOF-adsorbate systems: electrostatic, dispersion, polarization, and short-range repulsion. The presented approach can also readily facilitate hybrid atomistic simulation/ML workflows.
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Affiliation(s)
- Vadim V Korolev
- Department of Chemistry, Lomonosov Moscow State University, Moscow 119991, Russia
| | - Yuriy M Nevolin
- Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Sciences, Moscow 119071, Russia
| | - Thomas A Manz
- Department of Chemical & Materials Engineering, New Mexico State University, Las Cruces, New Mexico 88003-8001, United States
| | - Pavel V Protsenko
- Department of Chemistry, Lomonosov Moscow State University, Moscow 119991, Russia
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14
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Yuyama S, Kaneko H. Correlation between the Metal and Organic Components, Structure Property, and Gas-Adsorption Capacity of Metal-Organic Frameworks. J Chem Inf Model 2021; 61:5785-5792. [PMID: 34898202 DOI: 10.1021/acs.jcim.1c01205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Metal-organic frameworks (MOFs) are materials in which metals and organic compounds form crystalline and porous structures. Previous studies have investigated the relationships between the structure properties and physical properties of MOFs through molecular simulations, but the overall relationships in MOFs, including the relationships between the metals and organic components and the experimentally measured physical properties, have not been clarified. In this study, we developed two regression models between three elements in MOFs: the components, structure properties, and gas-adsorption capacities as physical properties. Using a nonlinear regression analysis method, we succeeded in predicting the structure properties from the components and the physical properties from the structure properties.
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Affiliation(s)
- Shunsuke Yuyama
- Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan
| | - Hiromasa Kaneko
- Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan
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15
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Farmahini AH, Krishnamurthy S, Friedrich D, Brandani S, Sarkisov L. Performance-Based Screening of Porous Materials for Carbon Capture. Chem Rev 2021; 121:10666-10741. [PMID: 34374527 PMCID: PMC8431366 DOI: 10.1021/acs.chemrev.0c01266] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Indexed: 02/07/2023]
Abstract
Computational screening methods have changed the way new materials and processes are discovered and designed. For adsorption-based gas separations and carbon capture, recent efforts have been directed toward the development of multiscale and performance-based screening workflows where we can go from the atomistic structure of an adsorbent to its equilibrium and transport properties at different scales, and eventually to its separation performance at the process level. The objective of this work is to review the current status of this new approach, discuss its potential and impact on the field of materials screening, and highlight the challenges that limit its application. We compile and introduce all the elements required for the development, implementation, and operation of multiscale workflows, hence providing a useful practical guide and a comprehensive source of reference to the scientific communities who work in this area. Our review includes information about available materials databases, state-of-the-art molecular simulation and process modeling tools, and a complete catalogue of data and parameters that are required at each stage of the multiscale screening. We thoroughly discuss the challenges associated with data availability, consistency of the models, and reproducibility of the data and, finally, propose new directions for the future of the field.
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Affiliation(s)
- Amir H. Farmahini
- Department
of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - Daniel Friedrich
- School
of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3FB, United Kingdom
| | - Stefano Brandani
- School
of Engineering, Institute of Materials and Processes, The University of Edinburgh, Sanderson Building, Edinburgh EH9 3FB, United Kingdom
| | - Lev Sarkisov
- Department
of Chemical Engineering and Analytical Science, School of Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom
- School
of Engineering, Institute of Materials and Processes, The University of Edinburgh, Sanderson Building, Edinburgh EH9 3FB, United Kingdom
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16
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Insights into the Gas Adsorption Mechanisms in Metal-Organic Frameworks from Classical Molecular Simulations. Top Curr Chem (Cham) 2020; 378:14. [PMID: 31933069 DOI: 10.1007/s41061-019-0276-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 12/18/2019] [Indexed: 10/25/2022]
Abstract
Classical molecular simulations can provide significant insights into the gas adsorption mechanisms and binding sites in various metal-organic frameworks (MOFs). These simulations involve assessing the interactions between the MOF and an adsorbate molecule by calculating the potential energy of the MOF-adsorbate system using a functional form that generally includes nonbonded interaction terms, such as the repulsion/dispersion and permanent electrostatic energies. Grand canonical Monte Carlo (GCMC) is the most widely used classical method that is carried out to simulate gas adsorption and separation in MOFs and identify the favorable adsorbate binding sites. In this review, we provide an overview of the GCMC methods that are normally utilized to perform these simulations. We also describe how a typical force field is developed for the MOF, which is required to compute the classical potential energy of the system. Furthermore, we highlight some of the common analysis techniques that have been used to determine the locations of the preferential binding sites in these materials. We also review some of the early classical molecular simulation studies that have contributed to our working understanding of the gas adsorption mechanisms in MOFs. Finally, we show that the implementation of classical polarization for simulations in MOFs can be necessary for the accurate modeling of an adsorbate in these materials, particularly those that contain open-metal sites. In general, molecular simulations can provide a great complement to experimental studies by helping to rationalize the favorable MOF-adsorbate interactions and the mechanism of gas adsorption.
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17
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Cho EH, Lin LC. Electrostatic Potential Optimized Molecular Models for Molecular Simulations: CO, CO 2, COS, H 2S, N 2, N 2O, and SO 2. J Chem Theory Comput 2019; 15:6323-6332. [PMID: 31618577 DOI: 10.1021/acs.jctc.9b00653] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Molecular simulations have been widely employed in the discovery of nanoporous materials, such as metal-organic frameworks (MOFs) and zeolite, for energy- and environment-related applications. To achieve simulation predictions with better accuracy, we herein present a collection of molecular models, including carbon monoxide (CO), carbon dioxide (CO2), carbonyl sulfide (COS), hydrogen sulfide (H2S), nitrogen (N2), nitrous oxide (N2O), and sulfur dioxide (SO2). These models, denoted as electrostatic potential optimized molecular models (ESP-MMs), are systematically developed to not only reproduce experimental vapor-liquid equilibrium but also have accurate electrostatic potential representation surrounding the molecules. Our results show that, with accurate electrostatic potential representations, ESP-MMs can offer improved predictions in a variety of adsorption properties for porous materials, including MOFs with open-metal sites and all-silica zeolites. Specifically, by using ESP-MMs, the binding geometry and adsorption energy landscape can be well captured. This enables these models to be employed to unravel the fundamental mechanism of gaseous adsorption in materials of interest as well as to facilitate the parametrization of adsorbent-adsorbate interactions. We also demonstrate that, combined with generic force fields for adsorbents, ESP-MMs can offer reasonable predictions in adsorption isotherms. Although these ESP-MMs use a relatively simple and nonpolarizable potential form for the sake of efficiency and applicability, their accuracy has been extensively validated in this study. Furthermore, the set of Lennard-Jones potentials with static point charges adopted for ESP-MMs can be readily implemented in all available simulation packages. We anticipate that these ESP-MMs can largely facilitate future computational studies of porous materials for gas separation and removal.
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Affiliation(s)
- Eun Hyun Cho
- William G. Lowrie Department of Chemical and Biomolecular Engineering , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Li-Chiang Lin
- William G. Lowrie Department of Chemical and Biomolecular Engineering , The Ohio State University , Columbus , Ohio 43210 , United States
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18
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Cho EH, Lyu Q, Lin LC. Computational discovery of nanoporous materials for energy- and environment-related applications. MOLECULAR SIMULATION 2019. [DOI: 10.1080/08927022.2019.1626990] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Eun Hyun Cho
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA
| | - Qiang Lyu
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA
- School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, China
| | - Li-Chiang Lin
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH, USA
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19
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Becker TM, Luna-Triguero A, Vicent-Luna JM, Lin LC, Dubbeldam D, Calero S, Vlugt TJH. Potential of polarizable force fields for predicting the separation performance of small hydrocarbons in M-MOF-74. Phys Chem Chem Phys 2018; 20:28848-28859. [DOI: 10.1039/c8cp05750h] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Including explicit polarization significantly improves the description of the adsorption in comparison to non-polarizable generic force fields.
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Affiliation(s)
- Tim M. Becker
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology
- 2628CB Delft
- The Netherlands
| | - Azahara Luna-Triguero
- Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide
- Seville
- Spain
| | - Jose Manuel Vicent-Luna
- Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide
- Seville
- Spain
| | - Li-Chiang Lin
- William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University
- Columbus
- USA
| | - David Dubbeldam
- Van't Hoff Institute for Molecular Sciences, University of Amsterdam
- 1098XH Amsterdam
- The Netherlands
| | - Sofia Calero
- Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide
- Seville
- Spain
| | - Thijs J. H. Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology
- 2628CB Delft
- The Netherlands
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