Open AccessPhysics-Informed Machine Learning for Discovery and Optimization of Materials: A Case Study of Scintillators
Author(s) -
Ghanshyam Pilania,
Kenneth J. McClellan,
Christopher R. Stanek,
Blas P. Uberuaga
Publication year - 2018
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1463529
Subject(s) - scintillator , lanthanide , valence (chemistry) , conduction band , ion , physics , thermal conduction , activator (genetics) , valency , atomic physics , engineering physics , nuclear physics , electron , biology , optics , quantum mechanics , detector , biochemistry , gene , linguistics , philosophy
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