Artificial neural network prediction indicators of density functional theory metal hydride models

International Journal of Hydrogen Energy

Volumn 38, Issue 27, 2013, Pages 11920-11929

  Griffin, William O ^a   Darsey, Jerry A ^a  

^a University of Arkansas   (United States)

Author keywords

Artificial neural networks; Core electrons; Density functional theory; Prediction methods; Sandia National Lab metal hydride database

Indexed keywords

COMPUTATIONAL MODEL; CORE ELECTRONS; EXPERIMENTAL PARAMETERS; HYDROGEN POWERED VEHICLES; METAL HYDRIDES; NEURAL NETWORK PREDICTIONS; PREDICTION METHODS; QUANTITATIVE STRUCTURE - PROPERTY RELATIONSHIPS;

DENSITY FUNCTIONAL THEORY; HYDROGEN; HYDROGEN STORAGE; NEURAL NETWORKS;

HYDRIDES;

EID: 84882642986     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2013.06.138     Document Type: Article

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