Modeling LiF and FLiBe Molten Salts with Robust Neural Network Interatomic Potential

Lam, Stephen T.; Li, Qing-Jie; Ballinger, Ronald; Forsberg, Charles; Li, Ju

doi:10.1021/acsami.1c00604

Modeling LiF and FLiBe Molten Salts with Robust Neural Network Interatomic Potential

Journal Article · Fri May 21 00:00:00 EDT 2021 · ACS Applied Materials and Interfaces

DOI:https://doi.org/10.1021/acsami.1c00604· OSTI ID:1784404

^[1]; Li, Qing-Jie ^[2]; Ballinger, Ronald ^[3]; Forsberg, Charles ^[2]; ^[3]

Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States, Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States, Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

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Research Organization:: Univ. of Massachusetts, Lowell, MA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: NE0008751

OSTI ID:: 1784404

Alternate ID(s):: OSTI ID: 1785626

Journal Information:: ACS Applied Materials and Interfaces, Journal Name: ACS Applied Materials and Interfaces Journal Issue: 21 Vol. 13; ISSN 1944-8244

Publisher:: American Chemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Modeling LiF and FLiBe Molten Salts with Robust Neural Network Interatomic Potential

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