Journal
ACS CATALYSIS
Volume 9, Issue 8, Pages 6624-6647Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acscatal.9b01234
Keywords
kinetics; modeling; density functional theory; Bayesian statistics; kinetic Monte Carlo; multiscale modeling; cluster expansions; uncertainty
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Funding
- U.S. Department of Energy, Office of Science, Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division
- National Science Foundation [DMREF-1534260]
- Einstein Foundation Berlin
- U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-FG02-06ER1S839]
- U.S. Department of Energy [DE-AC05-000R22725]
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Chemical kinetic modeling in heterogeneous catalysis is advancing in its ability to provide qualitatively or even quantitatively accurate prediction of real-world behavior because of new advances in the physical and chemical representations of catalytic systems, estimation of relevant kinetic parameters, and capabilities in kinetic modeling. This Perspective describes current trends and future areas of advancement in chemical kinetic modeling, simulation, and parameter estimation: ranging from elementary step calculations to multiscale modeling to the role of advanced statistical methods for incorporating uncertainties in predictions. Multiple new or growing methodologies are covered, examples are provided, and forward-looking topics for advancement are noted.
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