1
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Antypov D, Collins CM, Vasylenko A, Gusev V, Gaultois MW, Darling GR, Dyer MS, Rosseinsky MJ. Statistically derived proxy potentials accelerate geometry optimization of crystal structures. Chemphyschem 2024:e202400254. [PMID: 38567647 DOI: 10.1002/cphc.202400254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 03/26/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
The crystal structures of known materials contain the information about the interatomic interactions that produced these stable compounds. Similar to the use of reported protein structures to extract effective interactions between amino acids, that has been a useful tool in protein structure prediction, we demonstrate how to use this statistical paradigm to learn the effective inter-atomic interactions in crystalline inorganic solids. By analyzing the reported crystallographic data for inorganic materials, we have constructed statistically derived proxy potentials (SPPs) that can be used to assess how realistic or unusual a computer-generated structure is compared to the reported experimental structures. The SPPs can be directly used for structure optimization to improve this similarity metric, that we refer to as the SPP score. We apply such optimization step to markedly improve the quality of the input crystal structures for DFT calculations and demonstrate that the SPPs accelerate geometry optimization for three systems relevant to battery materials. As this approach is chemistry-agnostic and can be used at scale, we produced a database of all possible pair potentials in a tabulated form ready to use.
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Affiliation(s)
- Dmytro Antypov
- University of Liverpool, Chemistry, Crown St, L69 7ZD, Liverpool, UNITED KINGDOM
| | | | | | | | | | | | | | - Matthew J Rosseinsky
- University of Liverpool, Department of Chemsitry, Donnan and Robert Robinson Laboratories, Grove Street, L69 7ZD, Liverpool, UNITED KINGDOM
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2
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Han G, Vasylenko A, Daniels LM, Collins CM, Corti L, Chen R, Niu H, Manning TD, Antypov D, Dyer MS, Lim J, Zanella M, Sonni M, Bahri M, Jo H, Dang Y, Robertson CM, Blanc F, Hardwick LJ, Browning ND, Claridge JB, Rosseinsky MJ. Superionic lithium transport via multiple coordination environments defined by two-anion packing. Science 2024; 383:739-745. [PMID: 38359130 DOI: 10.1126/science.adh5115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 01/17/2024] [Indexed: 02/17/2024]
Abstract
Fast cation transport in solids underpins energy storage. Materials design has focused on structures that can define transport pathways with minimal cation coordination change, restricting attention to a small part of chemical space. Motivated by the greater structural diversity of binary intermetallics than that of the metallic elements, we used two anions to build a pathway for three-dimensional superionic lithium ion conductivity that exploits multiple cation coordination environments. Li7Si2S7I is a pure lithium ion conductor created by an ordering of sulphide and iodide that combines elements of hexagonal and cubic close-packing analogously to the structure of NiZr. The resulting diverse network of lithium positions with distinct geometries and anion coordination chemistries affords low barriers to transport, opening a large structural space for high cation conductivity.
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Affiliation(s)
- Guopeng Han
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Andrij Vasylenko
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Luke M Daniels
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Chris M Collins
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Lucia Corti
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
| | - Ruiyong Chen
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Hongjun Niu
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Troy D Manning
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Dmytro Antypov
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
| | - Matthew S Dyer
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
| | - Jungwoo Lim
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool L69 7ZF, UK
| | - Marco Zanella
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Manel Sonni
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Mounib Bahri
- Albert Crewe Centre, University of Liverpool, Research Technology Building, Elisabeth Street, Pembroke Place, Liverpool L69 3GE, UK
| | - Hongil Jo
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
| | - Yun Dang
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Craig M Robertson
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Frédéric Blanc
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool L69 7ZF, UK
| | - Laurence J Hardwick
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool L69 7ZF, UK
| | - Nigel D Browning
- Albert Crewe Centre, University of Liverpool, Research Technology Building, Elisabeth Street, Pembroke Place, Liverpool L69 3GE, UK
- School of Engineering, Department of Mechanical, Materials and Aerospace Engineering, University of Liverpool, Liverpool L69 3GH, UK
| | - John B Claridge
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
| | - Matthew J Rosseinsky
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, 51 Oxford Street, University of Liverpool, Liverpool L7 3NY, UK
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3
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Vasylenko A, Asher BM, Collins CM, Gaultois MW, Darling GR, Dyer MS, Rosseinsky MJ. Inferring energy-composition relationships with Bayesian optimization enhances exploration of inorganic materials. J Chem Phys 2024; 160:054110. [PMID: 38341704 DOI: 10.1063/5.0180818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/29/2023] [Indexed: 02/13/2024] Open
Abstract
Computational exploration of the compositional spaces of materials can provide guidance for synthetic research and thus accelerate the discovery of novel materials. Most approaches employ high-throughput sampling and focus on reducing the time for energy evaluation for individual compositions, often at the cost of accuracy. Here, we present an alternative approach focusing on effective sampling of the compositional space. The learning algorithm PhaseBO optimizes the stoichiometry of the potential target material while improving the probability of and accelerating its discovery without compromising the accuracy of energy evaluation.
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Affiliation(s)
- Andrij Vasylenko
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Benjamin M Asher
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Christopher M Collins
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Michael W Gaultois
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - George R Darling
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Matthew S Dyer
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Matthew J Rosseinsky
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
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4
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Perez AJ, Vasylenko A, Surta TW, Niu H, Daniels LM, Hardwick LJ, Dyer MS, Claridge JB, Rosseinsky MJ. Ordered Oxygen Vacancies in the Lithium-Rich Oxide Li 4CuSbO 5.5, a Triclinic Structure Type Derived from the Cubic Rocksalt Structure. Inorg Chem 2021; 60:19022-19034. [PMID: 34870428 PMCID: PMC8693191 DOI: 10.1021/acs.inorgchem.1c02882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
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Li-rich rocksalt
oxides are promising candidates as high-energy
density cathode materials for next-generation Li-ion batteries because
they present extremely diverse structures and compositions. Most reported
materials in this family contain as many cations as anions, a characteristic
of the ideal cubic closed-packed rocksalt composition. In this work,
a new rocksalt-derived structure type is stabilized by selecting divalent
Cu and pentavalent Sb cations to favor the formation of oxygen vacancies
during synthesis. The structure and composition of the oxygen-deficient
Li4CuSbO5.5□0.5 phase is characterized
by combining X-ray and neutron diffraction, ICP-OES, XAS, and magnetometry
measurements. The ordering of cations and oxygen vacancies is discussed
in comparison with the related Li2CuO2□1 and Li5SbO5□1 phases.
The electrochemical properties of this material are presented, with
only 0.55 Li+ extracted upon oxidation, corresponding to
a limited utilization of cationic and/or anionic redox, whereas more
than 2 Li+ ions can be reversibly inserted upon reduction
to 1 V vs Li+/Li, a large capacity attributed to a conversion
reaction and the reduction of Cu2+ to Cu0. Control
of the formation of oxygen vacancies in Li-rich rocksalt oxides by
selecting appropriate cations and synthesis conditions affords a new
route for tuning the electrochemical properties of cathode materials
for Li-ion batteries. Furthermore, the development of material models
of the required level of detail to predict phase diagrams and electrochemical
properties, including oxygen release in Li-rich rocksalt oxides, still
relies on the accurate prediction of crystal structures. Experimental
identification of new accessible structure types stabilized by oxygen
vacancies represents a valuable step forward in the development of
predictive models. Controlling
the composition and synthesis conditions of
Li-rich rocksalt oxides can lead to to new structure types stabilized
by oxygen vacancies. The complex atomic ordering of Li4CuSbO5.5 is described and discussed in the context of
other oxygen-deficient rocksalt oxides.
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Affiliation(s)
- Arnaud J Perez
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Andrij Vasylenko
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - T Wesley Surta
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Hongjun Niu
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Luke M Daniels
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Laurence J Hardwick
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom.,Stephenson Institute for Renewable Energy, University of Liverpool, Chadwick Building, Peach Street, Liverpool L69 7ZF, United Kingdom
| | - Matthew S Dyer
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - John B Claridge
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
| | - Matthew J Rosseinsky
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, United Kingdom
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5
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Gamon J, Dyer MS, Duff BB, Vasylenko A, Daniels LM, Zanella M, Gaultois MW, Blanc F, Claridge JB, Rosseinsky MJ. Li 4.3AlS 3.3Cl 0.7: A Sulfide-Chloride Lithium Ion Conductor with Highly Disordered Structure and Increased Conductivity. Chem Mater 2021; 33:8733-8744. [PMID: 34840424 PMCID: PMC8613839 DOI: 10.1021/acs.chemmater.1c02751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/25/2021] [Indexed: 06/13/2023]
Abstract
Mixed anion materials and anion doping are very promising strategies to improve solid-state electrolyte properties by enabling an optimized balance between good electrochemical stability and high ionic conductivity. In this work, we present the discovery of a novel lithium aluminum sulfide-chloride phase, obtained by substitution of chloride for sulfur in Li3AlS3 and Li5AlS4 materials. The structure is strongly affected by the presence of chloride anions on the sulfur site, as the substitution was shown to be directly responsible for the stabilization of a higher symmetry phase presenting a large degree of cationic site disorder, as well as disordered octahedral lithium vacancies. The effect of disorder on the lithium conductivity properties was assessed by a combined experimental-theoretical approach. In particular, the conductivity is increased by a factor 103 compared to the pure sulfide phase. Although it remains moderate (10-6 S·cm-1), ab initio molecular dynamics and maximum entropy (applied to neutron diffraction data) methods show that disorder leads to a 3D diffusion pathway, where Li atoms move thanks to a concerted mechanism. An understanding of the structure-property relationships is developed to determine the limiting factor governing lithium ion conductivity. This analysis, added to the strong step forward obtained in the determination of the dimensionality of diffusion, paves the way for accessing even higher conductivity in materials comprising an hcp anion arrangement.
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Affiliation(s)
- Jacinthe Gamon
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
| | - Matthew S. Dyer
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
- Leverhulme
Research Centre for Functional Materials Design, Materials Innovation
Factory, University of Liverpool, L69 7ZD Liverpool, United Kingdom
| | - Benjamin B. Duff
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
- Stephenson
Institute for Renewable Energy, University
of Liverpool, Peach Street, L69 7ZF Liverpool, United Kingdom
| | - Andrij Vasylenko
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
| | - Luke M. Daniels
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
| | - Marco Zanella
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
| | - Michael W. Gaultois
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
- Leverhulme
Research Centre for Functional Materials Design, Materials Innovation
Factory, University of Liverpool, L69 7ZD Liverpool, United Kingdom
| | - Frédéric Blanc
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
- Stephenson
Institute for Renewable Energy, University
of Liverpool, Peach Street, L69 7ZF Liverpool, United Kingdom
- Leverhulme
Research Centre for Functional Materials Design, Materials Innovation
Factory, University of Liverpool, L69 7ZD Liverpool, United Kingdom
| | - John B. Claridge
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
- Leverhulme
Research Centre for Functional Materials Design, Materials Innovation
Factory, University of Liverpool, L69 7ZD Liverpool, United Kingdom
| | - Matthew J. Rosseinsky
- Department
of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, United Kingdom
- Leverhulme
Research Centre for Functional Materials Design, Materials Innovation
Factory, University of Liverpool, L69 7ZD Liverpool, United Kingdom
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6
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Han G, Vasylenko A, Neale AR, Duff BB, Chen R, Dyer MS, Dang Y, Daniels LM, Zanella M, Robertson CM, Kershaw Cook LJ, Hansen AL, Knapp M, Hardwick LJ, Blanc F, Claridge JB, Rosseinsky MJ. Extended Condensed Ultraphosphate Frameworks with Monovalent Ions Combine Lithium Mobility with High Computed Electrochemical Stability. J Am Chem Soc 2021; 143:18216-18232. [PMID: 34677973 PMCID: PMC8569803 DOI: 10.1021/jacs.1c07874] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Extended anionic
frameworks based on condensation of polyhedral
main group non-metal anions offer a wide range of structure types.
Despite the widespread chemistry and earth abundance of phosphates
and silicates, there are no reports of extended ultraphosphate anions
with lithium. We describe the lithium ultraphosphates Li3P5O14 and Li4P6O17 based on extended layers and chains of phosphate, respectively.
Li3P5O14 presents a complex structure
containing infinite ultraphosphate layers with 12-membered rings that
are stacked alternately with lithium polyhedral layers. Two distinct
vacant tetrahedral sites were identified at the end of two distinct
finite Li6O1626– chains. Li4P6O17 features a new type of loop-branched
chain defined by six PO43– tetrahedra.
The ionic conductivities and electrochemical properties of Li3P5O14 were examined by impedance spectroscopy
combined with DC polarization, NMR spectroscopy, and galvanostatic
plating/stripping measurements. The structure of Li3P5O14 enables three-dimensional lithium migration
that affords the highest ionic conductivity (8.5(5) × 10–7 S cm–1 at room temperature for
bulk), comparable to that of commercialized LiPON glass thin film
electrolytes, and lowest activation energy (0.43(7) eV) among all
reported ternary Li–P–O phases. Both new lithium ultraphosphates
are predicted to have high thermodynamic stability against oxidation,
especially Li3P5O14, which is predicted
to be stable to 4.8 V, significantly higher than that of LiPON and
other solid electrolytes. The condensed phosphate units defining these
ultraphosphate structures offer a new route to optimize the interplay
of conductivity and electrochemical stability required, for example,
in cathode coatings for lithium ion batteries.
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Affiliation(s)
- Guopeng Han
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Andrij Vasylenko
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Alex R Neale
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom.,Stephenson Institute for Renewable Energy, University of Liverpool, Peach Street, Liverpool L69 7ZF, United Kingdom
| | - Benjamin B Duff
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom.,Stephenson Institute for Renewable Energy, University of Liverpool, Peach Street, Liverpool L69 7ZF, United Kingdom
| | - Ruiyong Chen
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Matthew S Dyer
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Yun Dang
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Luke M Daniels
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Marco Zanella
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Craig M Robertson
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Laurence J Kershaw Cook
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Anna-Lena Hansen
- Institute for Applied Materials - Energy Storage Systems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Michael Knapp
- Institute for Applied Materials - Energy Storage Systems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
| | - Laurence J Hardwick
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom.,Stephenson Institute for Renewable Energy, University of Liverpool, Peach Street, Liverpool L69 7ZF, United Kingdom
| | - Frédéric Blanc
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom.,Stephenson Institute for Renewable Energy, University of Liverpool, Peach Street, Liverpool L69 7ZF, United Kingdom
| | - John B Claridge
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
| | - Matthew J Rosseinsky
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, United Kingdom
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7
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Vasylenko A, Gamon J, Duff BB, Gusev VV, Daniels LM, Zanella M, Shin JF, Sharp PM, Morscher A, Chen R, Neale AR, Hardwick LJ, Claridge JB, Blanc F, Gaultois MW, Dyer MS, Rosseinsky MJ. Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry. Nat Commun 2021; 12:5561. [PMID: 34548485 PMCID: PMC8455628 DOI: 10.1038/s41467-021-25343-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/04/2021] [Indexed: 02/08/2023] Open
Abstract
The selection of the elements to combine delimits the possible outcomes of synthetic chemistry because it determines the range of compositions and structures, and thus properties, that can arise. For example, in the solid state, the elemental components of a phase field will determine the likelihood of finding a new crystalline material. Researchers make these choices based on their understanding of chemical structure and bonding. Extensive data are available on those element combinations that produce synthetically isolable materials, but it is difficult to assimilate the scale of this information to guide selection from the diversity of potential new chemistries. Here, we show that unsupervised machine learning captures the complex patterns of similarity between element combinations that afford reported crystalline inorganic materials. This model guides prioritisation of quaternary phase fields containing two anions for synthetic exploration to identify lithium solid electrolytes in a collaborative workflow that leads to the discovery of Li3.3SnS3.3Cl0.7. The interstitial site occupancy combination in this defect stuffed wurtzite enables a low-barrier ion transport pathway in hexagonal close-packing.
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Affiliation(s)
| | - Jacinthe Gamon
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Benjamin B Duff
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool, UK
| | - Vladimir V Gusev
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK
| | - Luke M Daniels
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Marco Zanella
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - J Felix Shin
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Paul M Sharp
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK
| | | | - Ruiyong Chen
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Alex R Neale
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool, UK
| | - Laurence J Hardwick
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool, UK
| | - John B Claridge
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK
| | - Frédéric Blanc
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Stephenson Institute for Renewable Energy, University of Liverpool, Liverpool, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK
| | - Michael W Gaultois
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK
| | - Matthew S Dyer
- Department of Chemistry, University of Liverpool, Liverpool, UK
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK
| | - Matthew J Rosseinsky
- Department of Chemistry, University of Liverpool, Liverpool, UK.
- Leverhulme Research Centre for Functional Materials Design, Materials Innovation Factory, University of Liverpool, Liverpool, UK.
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8
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Kashtiban RJ, Burdanova MG, Vasylenko A, Wynn J, Medeiros PVC, Ramasse Q, Morris AJ, Quigley D, Lloyd-Hughes J, Sloan J. Linear and Helical Cesium Iodide Atomic Chains in Ultranarrow Single-Walled Carbon Nanotubes: Impact on Optical Properties. ACS Nano 2021; 15:13389-13398. [PMID: 34370946 DOI: 10.1021/acsnano.1c03705] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
One-dimensional (1D) atomic chains of CsI were previously reported in double-walled carbon nanotubes with ∼0.8 nm inner diameter. Here, we demonstrate that, while 1D CsI chains form within narrow ∼0.73 nm diameter single-walled carbon nanotubes (SWCNTs), wider SWCNT tubules (∼0.8-1.1 nm) promote the formation of helical chains of CsI 2 × 1 atoms in cross-section. These CsI helices create complementary oval distortions in encapsulating SWCNTs with highly strained helices formed from strained Cs2I2 parallelogram units in narrow tubes to lower strain Cs2I2 units in wider tubes. The observed structural changes and charge distribution were analyzed by density-functional theory and Bader analysis. CsI chains also produce conformation-selective changes to the electronic structure and optical properties of the encapsulating tubules. The observed defects are an interesting variation from defects commonly observed in alkali halides as these are normally associated with the Schottky and Frenkel type. The energetics of CsI 2 × 1 helix formation in SWCNTs suggests how these could be controllably formed.
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Affiliation(s)
- Reza J Kashtiban
- Department of Physics, University of Warwick, Coventry CV4 7AL, U.K
| | | | - Andrij Vasylenko
- Department of Physics, University of Warwick, Coventry CV4 7AL, U.K
- Department of Chemistry, University of Liverpool, Crown Street, Liverpool L69 7ZD, U.K
| | - Jamie Wynn
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K
| | | | - Quentin Ramasse
- SuperSTEM Laboratory, STFC Daresbury Campus, Daresbury WA44AD, U.K
- School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, U.K
| | - Andrew J Morris
- School of Metallurgy and Materials, University of Birmingham, Birmingham B15 2TT, U.K
| | - David Quigley
- Department of Physics, University of Warwick, Coventry CV4 7AL, U.K
| | | | - Jeremy Sloan
- Department of Physics, University of Warwick, Coventry CV4 7AL, U.K
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Vasylenko A, Marks S, Wynn JM, Medeiros PVC, Ramasse QM, Morris AJ, Sloan J, Quigley D. Electronic Structure Control of Sub-nanometer 1D SnTe via Nanostructuring within Single-Walled Carbon Nanotubes. ACS Nano 2018; 12:6023-6031. [PMID: 29782147 DOI: 10.1021/acsnano.8b02261] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Nanostructuring, e. g., reduction of dimensionality in materials, offers a viable route toward regulation of materials electronic and hence functional properties. Here, we present the extreme case of nanostructuring, exploiting the capillarity of single-walled carbon nanotubes (SWCNTs) for the synthesis of the smallest possible SnTe nanowires with cross sections as thin as a single atom column. We demonstrate that by choosing the appropriate diameter of a template SWCNT, we can manipulate the structure of the quasi-one-dimensional (1D) SnTe to design electronic behavior. From first principles, we predict the structural re-formations that SnTe undergoes in varying encapsulations and confront the prediction with TEM imagery. To further illustrate the control of physical properties by nanostructuring, we study the evolution of transport properties in a homologous series of models of synthesized and isolated SnTe nanowires varying only in morphology and atomic layer thickness. This extreme scaling is predicted to significantly enhance thermoelectric performance of SnTe, offering a prospect for further experimental studies and future applications.
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Affiliation(s)
- Andrij Vasylenko
- Department of Physics , University of Warwick , Coventry , CV4 7AL , United Kingdom
| | - Samuel Marks
- Department of Physics , University of Warwick , Coventry , CV4 7AL , United Kingdom
| | - Jamie M Wynn
- Cavendish Laboratory , University of Cambridge , Cambridge , CB3 0HE , United Kingdom
| | - Paulo V C Medeiros
- Cavendish Laboratory , University of Cambridge , Cambridge , CB3 0HE , United Kingdom
| | - Quentin M Ramasse
- SuperSTEM Laboratory, SciTech Daresbury Campus , Daresbury , WA44AD , United Kingdom
| | - Andrew J Morris
- School of Metallurgy and Materials , University of Birmingham , Birmingham , B15 2TT , United Kingdom
| | - Jeremy Sloan
- Department of Physics , University of Warwick , Coventry , CV4 7AL , United Kingdom
| | - David Quigley
- Department of Physics , University of Warwick , Coventry , CV4 7AL , United Kingdom
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Medeiros PVC, Marks S, Wynn JM, Vasylenko A, Ramasse QM, Quigley D, Sloan J, Morris AJ. Single-Atom Scale Structural Selectivity in Te Nanowires Encapsulated Inside Ultranarrow, Single-Walled Carbon Nanotubes. ACS Nano 2017; 11:6178-6185. [PMID: 28467832 DOI: 10.1021/acsnano.7b02225] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Extreme nanowires (ENs) represent the ultimate class of crystals: They are the smallest possible periodic materials. With atom-wide motifs repeated in one dimension (1D), they offer a privileged perspective into the physics and chemistry of low-dimensional systems. Single-walled carbon nanotubes (SWCNTs) provide ideal environments for the creation of such materials. Here we present a comprehensive study of Te ENs encapsulated inside ultranarrow SWCNTs with diameters between 0.7 nm and 1.1 nm. We combine state-of-the-art imaging techniques and 1D-adapted ab initio structure prediction to treat both confinement and periodicity effects. The studied Te ENs adopt a variety of structures, exhibiting a true 1D realization of a Peierls structural distortion and transition from metallic to insulating behavior as a function of encapsulating diameter. We analyze the mechanical stability of the encapsulated ENs and show that nanoconfinement is not only a useful means to produce ENs but also may actually be necessary, in some cases, to prevent them from disintegrating. The ability to control functional properties of these ENs with confinement has numerous applications in future device technologies, and we anticipate that our study will set the basic paradigm to be adopted in the characterization and understanding of such systems.
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Affiliation(s)
- Paulo V C Medeiros
- Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge , J. J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom
| | | | - Jamie M Wynn
- Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge , J. J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom
| | - Andrij Vasylenko
- Institute for Condensed Matter Physics, National Academy of Science of Ukraine (NAS Ukraine) , 1 Sventsitskii street, 79011 Lviv, Ukraine
| | - Quentin M Ramasse
- SuperSTEM Laboratory, SciTech Daresbury Campus , Keckwick Lane, Daresbury WA44AD, United Kingdom
| | | | | | - Andrew J Morris
- Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge , J. J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom
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Markiv B, Vasylenko A, Tokarchuk M. Statistical description of hydrodynamic processes in ionic melts while taking into account polarization effects. J Chem Phys 2012; 136:234502. [PMID: 22779601 DOI: 10.1063/1.4729252] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
A statistical description of hydrodynamic processes for molten salts is proposed taking into account polarization effects caused by the deformation of external ionic shells. This description is conducted by means of the Zubarev nonequilibrium statistical operator method, appropriate for researches of both strong and weak nonequilibrium processes. The nonequilibrium statistical operator and the generalized hydrodynamic equations that take into account the polarization processes are acquired for the ion-polarization model of ionic molten salts when the nonequilibrium averaged values of densities of ions number, their momentum, dipole momentum, and total energy are chosen for the reduced description parameters. A spectrum of collective excitations is investigated within the viscoelastic approximation for the ion-polarization model of ionic melts.
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Affiliation(s)
- B Markiv
- Institute for Condensed Matter Physics NAS of Ukraine, 1 Svientsitskii Str., 79011 Lviv, Ukraine
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