Computational Science Guides and Accelerates Hydrogen Research (Fact Sheet) Metadata

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Title

  • Main Title Computational Science Guides and Accelerates Hydrogen Research (Fact Sheet)

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization

Publisher

  • Name: National Renewable Energy Laboratory (U.S.)
    Place of Publication: Golden, Colorado
    Additional Info: National Renewable Energy Laboratory (NREL), Golden, CO.

Date

  • Creation: 2010-12-01

Language

  • English

Description

  • Content Description: This fact sheet describes NREL's accomplishments in using computational science to enhance hydrogen-related research and development in areas such as storage and photobiology. Work was performed by NREL's Chemical and Materials Science Center and Biosciences Center.
  • Physical Description: 1 pg.

Subject

  • Keyword: Electronic Structure
  • Keyword: Protein Structure
  • Keyword: Residues
  • Keyword: Hypothesis
  • Keyword: Hydrogen Sorption
  • Keyword: Diffusion
  • Keyword: Enzymes
  • Keyword: Computational Science
  • Keyword: Proteins
  • Keyword: Mutagenesis
  • Keyword: Doped Materials
  • Keyword: Graphite
  • STI Subject Categories: 97 Mathematics And Computing
  • Keyword: Amino Acids
  • STI Subject Categories: 08 Hydrogen
  • Keyword: Hydrogen
  • Keyword: Hydrogen Storage
  • Keyword: Hydrogen Production
  • Keyword: Numerical Analysis
  • Keyword: Hydrogenases
  • Keyword: Oxygen
  • Keyword: Catalysts
  • Keyword: Storage Hydrogen
  • Keyword: Photobiology
  • Keyword: Sorption
  • Keyword: Computational Modeling
  • Keyword: Hydrogen

Source

  • Related Information: Hydrogen and Fuel Cell Technical Highlights (HFCTH), NREL (National Renewable Energy Laboratory)

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Report No.: NREL/FS-5600-48432
  • Grant Number: AC36-08GO28308
  • DOI: 10.2172/1000570
  • Office of Scientific & Technical Information Report Number: 1000570
  • Archival Resource Key: ark:/67531/metadc841150
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