Catalytic resonance theory: forecasting the flow of programmable catalytic loops
Authors
- Paul J. Dauenhauer
- Sallye R. Gathmann (ORCID: https://orcid.org/0000-0002-1001-6650)
- Kyle Noordhoek (ORCID: https://orcid.org/0000-0002-1076-8799)
- Madeline A. Murphy (ORCID: https://orcid.org/0009-0001-5792-9318)
- Christopher J. Bartel (ORCID: https://orcid.org/0000-0002-5198-5036)
Institutions
- University of Minnesota (US)
- Unisys (United States) (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1039/d4dd00216d
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.12
Funders
- U.S. Department of Energy
- Office of Science