DOI: 10.1039/c7ta01812f. High-throughput screening of bimetallic catalysts enabled by machine learning

High-throughput screening of bimetallic catalysts enabled by machine learning

10.1039/c7ta01812f

Crossref journal-article

Royal Society of Chemistry (RSC)

Journal of Materials Chemistry A (292)

Abstract

We present a holistic machine-learning framework for rapid screening of bimetallic catalysts with the aid of the descriptor-based kinetic analysis.

Bibliography

Li, Z., Wang, S., Chin, W. S., Achenie, L. E., & Xin, H. (2017). High-throughput screening of bimetallic catalysts enabled by machine learning. Journal of Materials Chemistry A, 5(46), 24131â24138.

Authors 5

Zheng Li (first)
Siwen Wang (additional)
Wei Shan Chin (additional)
Luke E. Achenie (additional)
Hongliang Xin (additional)

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Dates

Type	When
Created	7 years, 10 months ago (Sept. 26, 2017, 12:33 p.m.)
Deposited	1 year, 4 months ago (April 17, 2024, 7:40 p.m.)
Indexed	1 hour, 52 minutes ago (Aug. 21, 2025, 1:04 p.m.)
Issued	8 years, 7 months ago (Jan. 1, 2017)
Published	8 years, 7 months ago (Jan. 1, 2017)
Published Online	8 years, 7 months ago (Jan. 1, 2017)

Funders 3

Division of Chemical, Bioengineering, Environmental, and Transport Systems 10.13039/100000146
Region: Americas
gov (National government)
Labels9
1. Chemical, Bioengineering, Environmental and Transport Systems
2. Chemical, Bioengineering, Environmental and Transport Systems (CBET) Division
3. Chemical, Bioengineering, Environmental & Transport Systems Division
4. NSF's Division of Chemical, Bioengineering, Environmental and Transport Systems
5. NSF Division of Chemical, Bioengineering, Environmental, and Transport Systems
6. Division of Chemical, Bioengineering, Environmental and Transport Systems
7. CBET
8. ENG/CBET
9. US NSF - ENG - CBET
Awards1
1. CBET-1604984
American Chemical Society Petroleum Research Fund 10.13039/100006770
Region: Americas
pri (Associations and societies (private and public))
Labels7
1. ACS Petroleum Research Fund
2. Petroleum Research Fund
3. Petroleum Research Fund, American Chemical Society
4. The Petroleum Research Fund
5. ACS-Petroleum Research Fund
6. ACS PRF
7. PRF
Awards1
1. ACS PRF 55581-DNI5
Institute for Critical Technology and Applied Science 10.13039/100014523
Region: Americas
pri (Research institutes and centers)
Labels1
1. ICTAS
Awards1
1. ICTAS-J0663175

BibTeX

@article{Li_2017, title={High-throughput screening of bimetallic catalysts enabled by machine learning}, volume={5}, ISSN={2050-7496}, url={http://dx.doi.org/10.1039/c7ta01812f}, DOI={10.1039/c7ta01812f}, number={46}, journal={Journal of Materials Chemistry A}, publisher={Royal Society of Chemistry (RSC)}, author={Li, Zheng and Wang, Siwen and Chin, Wei Shan and Achenie, Luke E. and Xin, Hongliang}, year={2017}, pages={24131–24138} }

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