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Title: Grafting metal complexes onto amorphous supports: from elementary steps to catalyst site populations via kernel regression

Abstract

Ab initio computational studies have made tremendous progress in describing the behavior of molecular (homogeneous) catalysts and crystalline versions of heterogeneous catalysts, but not for amorphous heterogeneous catalysts. Even widely used industrial amorphous catalysts like atomically dispersed Cr on silica remain poorly understood and largely intractable to computational investigation. The central problems are that (i) the amorphous support presents an unknown quenched disordered structure, (ii) metal atoms attach to various surface grafting sites with different rates, and (iii) the resulting grafted sites have different activation and catalytic reaction kinetics. This study combines kernel regression and importance sampling techniques to efficiently model grafting of metal ions onto a non-uniform ensemble of support environments. Our analysis uses a simple model of the quenched disordered support environment, grafting chemistry, and catalytic activity of the resulting grafted sites.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2];  [3]
  1. Univ. of California, Santa Barbara, CA (United States). Dept. of Chemical Engineering
  2. Univ. of California, Santa Barbara, CA (United States). Dept. of Chemical Engineering. Dept. of Chemistry & Biochemistry
  3. Univ. of Illinois at Urbana-Champaign, IL (United States). Dept. of Chemical & Biomolecular Engineering. Dept. of Chemistry
Publication Date:
Research Org.:
Univ. of California, Santa Barbara, CA (United States); Univ. of Kansas, Lawrence, KS (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1800093
Alternate Identifier(s):
OSTI ID: 1575096
Grant/Contract Number:  
FG02-03ER15467; SC0019488; 1725797; 1605867
Resource Type:
Accepted Manuscript
Journal Name:
Reaction Chemistry & Engineering
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2058-9883
Publisher:
Royal Society of Chemistry
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Khan, Salman A., Vandervelden, Craig A., Scott, Susannah L., and Peters, Baron. Grafting metal complexes onto amorphous supports: from elementary steps to catalyst site populations via kernel regression. United States: N. p., 2019. Web. doi:10.1039/c9re00357f.
Khan, Salman A., Vandervelden, Craig A., Scott, Susannah L., & Peters, Baron. Grafting metal complexes onto amorphous supports: from elementary steps to catalyst site populations via kernel regression. United States. https://doi.org/10.1039/c9re00357f
Khan, Salman A., Vandervelden, Craig A., Scott, Susannah L., and Peters, Baron. Thu . "Grafting metal complexes onto amorphous supports: from elementary steps to catalyst site populations via kernel regression". United States. https://doi.org/10.1039/c9re00357f. https://www.osti.gov/servlets/purl/1800093.
@article{osti_1800093,
title = {Grafting metal complexes onto amorphous supports: from elementary steps to catalyst site populations via kernel regression},
author = {Khan, Salman A. and Vandervelden, Craig A. and Scott, Susannah L. and Peters, Baron},
abstractNote = {Ab initio computational studies have made tremendous progress in describing the behavior of molecular (homogeneous) catalysts and crystalline versions of heterogeneous catalysts, but not for amorphous heterogeneous catalysts. Even widely used industrial amorphous catalysts like atomically dispersed Cr on silica remain poorly understood and largely intractable to computational investigation. The central problems are that (i) the amorphous support presents an unknown quenched disordered structure, (ii) metal atoms attach to various surface grafting sites with different rates, and (iii) the resulting grafted sites have different activation and catalytic reaction kinetics. This study combines kernel regression and importance sampling techniques to efficiently model grafting of metal ions onto a non-uniform ensemble of support environments. Our analysis uses a simple model of the quenched disordered support environment, grafting chemistry, and catalytic activity of the resulting grafted sites.},
doi = {10.1039/c9re00357f},
journal = {Reaction Chemistry & Engineering},
number = 1,
volume = 5,
place = {United States},
year = {Thu Oct 31 00:00:00 EDT 2019},
month = {Thu Oct 31 00:00:00 EDT 2019}
}

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