Bayesian optimization of single-atom alloys and other bimetallics: efficient screening for alkane transformations, CO 2 reduction, and hydrogen evolution
We leveraged Bayesian optimization (BO) to search for potential high-performing catalysts. Our BO workflow can be initialized with as few as 2 to 8 data points, and often identifies the optimal single-atom alloy surface in just a few iterations.
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- Award ID(s):
- 2154952
- PAR ID:
- 10488942
- Publisher / Repository:
- Royal Society of Chemistry
- Date Published:
- Journal Name:
- Journal of Materials Chemistry A
- Volume:
- 11
- Issue:
- 35
- ISSN:
- 2050-7488
- Page Range / eLocation ID:
- 19128 to 19137
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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