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Efficiently Trained Deep Learning Potential for Graphane:

Siddarth K. Achar (11061524) ; Linfeng Zhang (4568230) ; J. Karl Johnson (1519432)
https://figshare.com/articles/dataset/Efficiently_Trained_Deep_Learning_Potential_for_Graphane/14896454. , 2021

Link: https://doi.org/10.1021/acs.jpcc.1c01411.s001

RT Journal
T1 <Title>Efficiently Trained Deep Learning Potential for Graphane</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14896454&Exemplar=1&LAN=DE
				
A1 Siddarth K. Achar (11061524)
A1 Linfeng Zhang (4568230)
A1 J. Karl Johnson (1519432)
YR 2021
K1 Biophysics
K1 Cell Biology
K1 Biotechnology
K1 Astronomical and Space Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Physical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 out-of-plane stiffness
K1 fluctuation
K1 graphene
K1 DP
K1 DFT data
K1 graphane
K1 velocity autocorrelation function
K1 1000 K
K1 hydrogenated version
K1 training data
K1 system size
K1 1000 snapshots
K1 dynamics simulation
K1 phonon density
K1 system sizes
K1 lattice strains
K1 Deep Learning
K1 0.5 ps density
JF https://figshare.com/articles/dataset/Efficiently_Trained_Deep_Learning_Potential_for_Graphane/14896454
LK http://dx.doi.org/https://doi.org/10.1021/acs.jpcc.1c01411.s001
DO https://doi.org/10.1021/acs.jpcc.1c01411.s001
SF ELIB - SuUB Bremen

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