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RedoxDB and RedEx: closing the DFT-experiment domain gap in redox potential prediction with transfer learning.
Doan DM, Song Q, Kucernak A, Jelfs KE

RedoxDB and RedEx: closing the DFT-experiment domain gap in redox potential prediction with transfer learning.

Author / Organization:
Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Chem Sci.

Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Information

Document Title RedoxDB and RedEx: closing the DFT-experiment domain gap in redox potential prediction with transfer learning.
Author / Organization Doan DM, Song Q, Kucernak A, Jelfs KE
Subject & Discipline Chem Sci
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-76729
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »