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Artificial Neural Networks as Mappings between Proton Poten..:

Maxim Secor (8393424) ; Alexander V. Soudackov (1274829) ; Sharon Hammes-Schiffer (1274832)
https://figshare.com/articles/journal_contribution/Artificial_Neural_Networks_as_Mappings_between_Proton_Potentials_Wave_Functions_Densities_and_Energy_Levels/14120209. , 2021

Link: https://doi.org/10.1021/acs.jpclett.1c00229.s001

RT Journal
T1 <Title>Artificial Neural Networks as Mappings between Proton Potentials, Wave Functions, Densities, and Energy Levels</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14120209&Exemplar=1&LAN=DE
				
A1 Maxim Secor (8393424)
A1 Alexander V. Soudackov (1274829)
A1 Sharon Hammes-Schiffer (1274832)
YR 2021
K1 Biophysics
K1 Neuroscience
K1 Ecology
K1 Computational Biology
K1 Biological Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Physical Sciences not elsewhere classified
K1 proton vibrational energies
K1 ground state density
K1 state proton vibrational energies
K1 ANN mappings
K1 proton vibrational energy levels
K1 Artificial Neural Networks
K1 proton ground state density
JF https://figshare.com/articles/journal_contribution/Artificial_Neural_Networks_as_Mappings_between_Proton_Potentials_Wave_Functions_Densities_and_Energy_Levels/14120209
LK http://dx.doi.org/https://doi.org/10.1021/acs.jpclett.1c00229.s001
DO https://doi.org/10.1021/acs.jpclett.1c00229.s001
SF ELIB - SuUB Bremen

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