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This content will become publicly available on December 20, 2019

Title: Machine learning in materials design and discovery: Examples from the present and suggestions for the future

Authors:
;
Publication Date:
Type:
Publisher's Accepted Manuscript
Journal Name:
Physical Review Materials
Additional Journal Information:
Journal Name: Physical Review Materials Journal Volume: 2 Journal Issue: 12; Journal ID: ISSN 2475-9953
Publisher:
American Physical Society
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1488630

Gubernatis, J. E., and Lookman, T.. Machine learning in materials design and discovery: Examples from the present and suggestions for the future. United States: N. p., Web. doi:10.1103/PhysRevMaterials.2.120301.
Gubernatis, J. E., & Lookman, T.. Machine learning in materials design and discovery: Examples from the present and suggestions for the future. United States. doi:10.1103/PhysRevMaterials.2.120301.
Gubernatis, J. E., and Lookman, T.. 2018. "Machine learning in materials design and discovery: Examples from the present and suggestions for the future". United States. doi:10.1103/PhysRevMaterials.2.120301.
@article{osti_1488630,
title = {Machine learning in materials design and discovery: Examples from the present and suggestions for the future},
author = {Gubernatis, J. E. and Lookman, T.},
abstractNote = {},
doi = {10.1103/PhysRevMaterials.2.120301},
journal = {Physical Review Materials},
number = 12,
volume = 2,
place = {United States},
year = {2018},
month = {12}
}

Works referenced in this record:

Revised effective ionic radii and systematic studies of interatomic distances in halides and chalcogenides
journal, September 1976

Random Forests
journal, January 2001