Using Machine Learning to Predict Electrochemical Properties
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Ryan Katona; USDOE National Nuclear Security Administration (NNSA); Aditya Venkatraman; David Montes de Oca Zapiain; Rebecca Schaller
- Published
- Publisher
- Office of Scientific and Technical Information (OSTI)
- Research area
- AI & compute
- Source type
- Report
- DOI
- 10.2172/3024840
The original publisher provides the full text and its access options.
Cite this source
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Ryan Katona; USDOE National Nuclear Security Administration (NNSA); Aditya Venkatraman; David Montes de Oca Zapiain; Rebecca Schaller. Using Machine Learning to Predict Electrochemical Properties. Office of Scientific and Technical Information (OSTI). 2025-03-01. https://doi.org/10.2172/3024840