Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning.

Keep this discovery

Explore connections, maps & timelines

Witman, Matthew, Ling, Sanliang, Grant, David, Walker, Gavin, Agarwal, Sapan, Stavila, Vitalie, Allendorf, Mark D.. 2020-01-01. Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning.. https://doi.org/10.1021/acs.jpclett.9b02971

Cite the original work for its findings. Save a collection to share your selection of sources.