Finding New Perovskite Halides via Machine Learning-Reference-Cited by-同舟云学术

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Finding New Perovskite Halides via Machine Learning

Published:2016-04-26 Issue: Volume:3 Page:
ISSN:2296-8016
Container-title:Frontiers in Materials
language:
Short-container-title:Front. Mater.

Author:

Pilania Ghanshyam,Balachandran Prasanna V.,Kim Chiho,Lookman Turab

Funder

Los Alamos National Laboratory

Laboratory Directed Research and Development

U.S. Department of Energy

Publisher

Frontiers Media SA

Subject

Materials Science (miscellaneous)

Reference40 articles.

1. Materials prediction via classification learning;Balachandran;Sci. Rep.,2015

2. Adaptive strategies for materials design using uncertainties;Balachandran;Sci. Rep.,2016

3. Bond valences? A simple structural model for inorganic chemistry;Brown;Chem. Soc. Rev.,1978

4. Recharging lithium battery research with first-principles methods;Ceder;Mater. Res. Soc. Bull,2011

5. The high-throughput highway to computational materials design;Curtarolo;Nat. Mater.,2013

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