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Discovering Collective Variables of Molecular Transitions v..:

Ferry Hooft (10233020) ; Alberto Pérez de Alba Ortíz (8740281) ; Bernd Ensing (1354056)
https://figshare.com/articles/journal_contribution/Discovering_Collective_Variables_of_Molecular_Transitions_via_Genetic_Algorithms_and_Neural_Networks/14167088. , 2021

Link: https://doi.org/10.1021/acs.jctc.0c00981.s001

RT Journal
T1 <Title>Discovering Collective Variables of Molecular Transitions via Genetic Algorithms and Neural Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14167088&Exemplar=1&LAN=DE
				
A1 Ferry Hooft (10233020)
A1 Alberto Pérez de Alba Ortíz (8740281)
A1 Bernd Ensing (1354056)
YR 2021
K1 Medicine
K1 Genetics
K1 Cancer
K1 Computational Biology
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 Neural Networks
K1 case studies
K1 Collective Variables
K1 Genetic Algorithms
K1 atom coordinates
K1 simulation data sets
K1 CV selection
K1 network performance
K1 transition
K1 alternative Hoogsteen pairing
K1 autoencoder network
K1 input CVs
K1 network input
K1 simulation data
K1 CV values
K1 network architecture
K1 time-correlation functions
K1 B-DNA
K1 Molecular Transitions
K1 Key advantages
K1 hyperparameter optimization
K1 base pair
K1 alanine dipeptide molecule
JF https://figshare.com/articles/journal_contribution/Discovering_Collective_Variables_of_Molecular_Transitions_via_Genetic_Algorithms_and_Neural_Networks/14167088
LK http://dx.doi.org/https://doi.org/10.1021/acs.jctc.0c00981.s001
DO https://doi.org/10.1021/acs.jctc.0c00981.s001
SF ELIB - SuUB Bremen

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