Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials

Bibliographic Details
Main Authors: Mgcini Keith Phuthi, Archie Mingze Yao, Simon Batzner, Albert Musaelian, Pinwen Guan, Boris Kozinsky, Ekin Dogus Cubuk, Venkatasubramanian Viswanathan
Format: Article
Language:English
Published: American Chemical Society 2024-02-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.3c10014
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author Mgcini Keith Phuthi
Archie Mingze Yao
Simon Batzner
Albert Musaelian
Pinwen Guan
Boris Kozinsky
Ekin Dogus Cubuk
Venkatasubramanian Viswanathan
author_facet Mgcini Keith Phuthi
Archie Mingze Yao
Simon Batzner
Albert Musaelian
Pinwen Guan
Boris Kozinsky
Ekin Dogus Cubuk
Venkatasubramanian Viswanathan
author_sort Mgcini Keith Phuthi
collection DOAJ
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institution Directory Open Access Journal
issn 2470-1343
language English
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publishDate 2024-02-01
publisher American Chemical Society
record_format Article
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spelling doaj.art-24c6b8427dc549148fc5cd59d3ee89c02024-03-05T13:32:41ZengAmerican Chemical SocietyACS Omega2470-13432024-02-0199109041091210.1021/acsomega.3c10014Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction PotentialsMgcini Keith Phuthi0Archie Mingze Yao1Simon Batzner2Albert Musaelian3Pinwen Guan4Boris Kozinsky5Ekin Dogus Cubuk6Venkatasubramanian Viswanathan7Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United StatesDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United StatesSchool of Engineering and Applied Science, Harvard University, Cambridge, Massachusetts, United StatesSchool of Engineering and Applied Science, Harvard University, Cambridge, Massachusetts, United StatesDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United StatesSchool of Engineering and Applied Science, Harvard University, Cambridge, Massachusetts, United StatesGoogle DeepMind, London, U.K.Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United Stateshttps://doi.org/10.1021/acsomega.3c10014
spellingShingle Mgcini Keith Phuthi
Archie Mingze Yao
Simon Batzner
Albert Musaelian
Pinwen Guan
Boris Kozinsky
Ekin Dogus Cubuk
Venkatasubramanian Viswanathan
Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
ACS Omega
title Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
title_full Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
title_fullStr Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
title_full_unstemmed Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
title_short Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
title_sort accurate surface and finite temperature bulk properties of lithium metal at large scales using machine learning interaction potentials
url https://doi.org/10.1021/acsomega.3c10014
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