Combinatorial screening for new materials in unconstrained composition space with machine learning

Meredig, B.; Agrawal, A.; Kirklin, S.; Saal, J. E.; Doak, J. W.; Thompson, A.; Zhang, K.; Choudhary, A.; Wolverton, C.

doi:10.1103/PhysRevB.89.094104

Title: Combinatorial screening for new materials in unconstrained composition space with machine learning

Journal Article · Sat Mar 01 00:00:00 EST 2014 · Physical Review. B, Condensed Matter and Materials Physics

DOI:https://doi.org/10.1103/PhysRevB.89.094104· OSTI ID:1383662

Meredig, B.; Agrawal, A.; Kirklin, S.; Saal, J. E.; Doak, J. W.; Thompson, A.; Zhang, K.; Choudhary, A.; Wolverton, C.

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Research Organization:: Energy Frontier Research Centers (EFRC) (United States). Revolutionary Materials for Solid State Energy Conversion (RMSSEC)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

DOE Contract Number:: SC0001054

OSTI ID:: 1383662

Journal Information:: Physical Review. B, Condensed Matter and Materials Physics, Vol. 89, Issue 9; Related Information: RMSSEC partners with Michigan State University (lead); University of California, Los Angeles; University of Michigan; Northwestern University; Oak Ridge National Laboratory; Ohio State University; Wayne State University; ISSN 1098-0121

Publisher:: American Physical Society (APS)

Country of Publication:: United States

Language:: English

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Title: Combinatorial screening for new materials in unconstrained composition space with machine learning

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