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Title: High-throughput methods using composition and structure spread libraries

Authors:
 [1];  [1]
  1. Dept. of Chemical Engineering, Carnegie Mellon University, Pittsburgh PA 15213
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1401432
Grant/Contract Number:  
FE0004000; SC0004031
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
AIChE Journal
Additional Journal Information:
Journal Name: AIChE Journal Journal Volume: 62 Journal Issue: 11; Journal ID: ISSN 0001-1541
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Kitchin, John R., and Gellman, Andrew J. High-throughput methods using composition and structure spread libraries. United States: N. p., 2016. Web. doi:10.1002/aic.15294.
Kitchin, John R., & Gellman, Andrew J. High-throughput methods using composition and structure spread libraries. United States. doi:10.1002/aic.15294.
Kitchin, John R., and Gellman, Andrew J. Fri . "High-throughput methods using composition and structure spread libraries". United States. doi:10.1002/aic.15294.
@article{osti_1401432,
title = {High-throughput methods using composition and structure spread libraries},
author = {Kitchin, John R. and Gellman, Andrew J.},
abstractNote = {},
doi = {10.1002/aic.15294},
journal = {AIChE Journal},
number = 11,
volume = 62,
place = {United States},
year = {Fri May 27 00:00:00 EDT 2016},
month = {Fri May 27 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/aic.15294

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

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Works referenced in this record:

Computational high-throughput screening of electrocatalytic materials for hydrogen evolution
journal, October 2006

  • Greeley, Jeff; Jaramillo, Thomas F.; Bonde, Jacob
  • Nature Materials, Vol. 5, Issue 11, p. 909-913
  • DOI: 10.1038/nmat1752