Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus ab Initio Methods
Author:
Affiliation:
1. CEA, LITEN, 17 Rue des Martyrs, 38054 Grenoble, France
2. Institute of Materials Chemistry, TU Wien, A-1060 Vienna, Austria
Funder
Agence Nationale de la Recherche
Deutsche Forschungsgemeinschaft
Horizon 2020 Framework Programme
Publisher
American Chemical Society (ACS)
Subject
Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.7b05296
Reference32 articles.
1. Half-Heusler compounds: novel materials for energy and spintronic applications
2. Theoretical search for half-Heusler topological insulators
3. Observation of a topologically non-trivial surface state in half-Heusler PtLuSb (001) thin films
4. Topological R PdBi half-Heusler semimetals: A new family of noncentrosymmetric magnetic superconductors
5. Half-Heusler ternary compounds as new multifunctional experimental platforms for topological quantum phenomena
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