Artificial neural network prediction indicators of density functional theory metal hydride models-Reference-Cited by-同舟云学术

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

Published:2013-09 Issue:27 Volume:38 Page:11920-11929
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Griffin William O.,Darsey Jerry A.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference39 articles.

1. High temperature metal hydrides as heat storage materials for solar and related applications;Felderhoff;Int J Mol Sci,2009

2. Cryogas International. http://www.cryogas.com/featureListCart.php?date=2009.02. (accessed February 2009).

3. Prospects for hydrogen and fuel cells; energy technology analysis;International Energy Agency,2005

4. Ti-doped alkali metal aluminium hydrides as potential novel reversible hydrogen storage materials;Bogdanovic;J Alloy Compd,1997

5. Catalyzed complex metal hydrides;Bogdanović;MRS Bull,2002

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