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Automated Development of Molten Salt Machine Learning Poten..:

Ganesh Sivaraman (7531928) ; Jicheng Guo (9636400) ; Logan Ward (5867709)...
https://figshare.com/articles/journal_contribution/Automated_Development_of_Molten_Salt_Machine_Learning_Potentials_Application_to_LiCl/14509071. , 2021

Link: https://doi.org/10.1021/acs.jpclett.1c00901.s001

RT Journal
T1 <Title>Automated Development of Molten Salt Machine Learning Potentials: Application to LiCl</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14509071&Exemplar=1&LAN=DE
				
A1 Ganesh Sivaraman (7531928)
A1 Jicheng Guo (9636400)
A1 Logan Ward (5867709)
A1 Nathaniel Hoyt (10720803)
A1 Mark Williamson (1680991)
A1 Ian Foster (1844626)
A1 Chris Benmore (4779246)
A1 Nicholas Jackson (3148170)
YR 2021
K1 Biophysics
K1 Biochemistry
K1 Medicine
K1 Cell Biology
K1 Biotechnology
K1 Ecology
K1 Plant Biology
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 Molten Salt Machine Learning Potentials
K1 spatiotemporal scales
K1 Automated Development
K1 force fields
K1 silico modeling
K1 methodology
K1 AIMD
K1 silico understanding
K1 LiCl GAP model
K1 ab initio evaluations
K1 Gaussian approximation potentials
K1 configurational sampling
K1 self-diffusion constants
K1 generation
K1 19 000-
JF https://figshare.com/articles/journal_contribution/Automated_Development_of_Molten_Salt_Machine_Learning_Potentials_Application_to_LiCl/14509071
LK http://dx.doi.org/https://doi.org/10.1021/acs.jpclett.1c00901.s001
DO https://doi.org/10.1021/acs.jpclett.1c00901.s001
SF ELIB - SuUB Bremen

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