Interpretable Machine Learning Models for Practical Antimonate Electrocatalyst Performance.
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| Title: | Interpretable Machine Learning Models for Practical Antimonate Electrocatalyst Performance. |
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| Authors: | Deo S; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Kreider ME; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Kamat G; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Hubert M; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Zamora Zeledón JA; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Wei L; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Matthews J; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Keyes N; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Singh I; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Jaramillo TF; Department of Chemical Engineering, Stanford University, Stanford, CA 94305, United States.; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Abild-Pedersen F; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Burke Stevens M; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Winther K; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States., Voss J; SUNCAT Center for Interface Science and Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States. |
| Source: | Chemphyschem : a European journal of chemical physics and physical chemistry [Chemphyschem] 2024 Jul 02; Vol. 25 (13), pp. e202400010. Date of Electronic Publication: 2024 Apr 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-VCH Verlag Country of Publication: Germany NLM ID: 100954211 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1439-7641 (Electronic) Linking ISSN: 14394235 NLM ISO Abbreviation: Chemphyschem Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1439-7641 |
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| DOI: | 10.1002/cphc.202400010 |
