This content will become publicly available on October 31, 2020
Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm
Abstract
We combine importance sampling and kernel regression techniques to efficiently predict site-averaged kinetics for isolated catalyst sites on amorphous supports.
- Authors:
-
[1];
[1];
[2];
[3]
- Department of Chemical Engineering, University of California, Santa Barbara, USA
- Department of Chemical Engineering, University of California, Santa Barbara, USA, Department of Chemistry
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, USA, Department of Chemistry
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
- OSTI Identifier:
- 1577873
- Grant/Contract Number:
- SC0019488; FG02-03ER15467
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Reaction Chemistry & Engineering
- Additional Journal Information:
- Journal Name: Reaction Chemistry & Engineering Journal Volume: 5 Journal Issue: 1; Journal ID: ISSN 2058-9883
- Publisher:
- Royal Society of Chemistry (RSC)
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Vandervelden, Craig A., Khan, Salman A., Scott, Susannah L., and Peters, Baron. Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm. United Kingdom: N. p., 2020.
Web. doi:10.1039/C9RE00356H.
Vandervelden, Craig A., Khan, Salman A., Scott, Susannah L., & Peters, Baron. Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm. United Kingdom. doi:10.1039/C9RE00356H.
Vandervelden, Craig A., Khan, Salman A., Scott, Susannah L., and Peters, Baron. Wed .
"Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm". United Kingdom. doi:10.1039/C9RE00356H.
@article{osti_1577873,
title = {Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm},
author = {Vandervelden, Craig A. and Khan, Salman A. and Scott, Susannah L. and Peters, Baron},
abstractNote = {We combine importance sampling and kernel regression techniques to efficiently predict site-averaged kinetics for isolated catalyst sites on amorphous supports.},
doi = {10.1039/C9RE00356H},
journal = {Reaction Chemistry & Engineering},
number = 1,
volume = 5,
place = {United Kingdom},
year = {2020},
month = {1}
}
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DOI: 10.1039/C9RE00356H
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