Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning. (2020)

First Author: Witman M
Attributed to:  Engineering Safe and Efficient Hydride-Based Technologies funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acs.jpclett.9b02971

PubMed Identifier: 31814416

Publication URI: http://europepmc.org/abstract/MED/31814416

Type: Journal Article/Review

Volume: 11

Parent Publication: The journal of physical chemistry letters

Issue: 1

ISSN: 1948-7185