Machine Learning Applied to a Variable Charge Atomistic Model for Cu/Hf Binary Alloy Oxide Heterostructures
Author(s) -
Kiran Sasikumar,
Henry Chan,
Badri Narayanan,
Subramanian K. R. S. Sankaranarayanan
Publication year - 2019
Publication title -
chemistry of materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.741
H-Index - 375
eISSN - 1520-5002
pISSN - 0897-4756
DOI - 10.1021/acs.chemmater.8b03969
Subject(s) - materials science , ionic bonding , oxide , heterojunction , chemical physics , alloy , chemistry , ion , optoelectronics , metallurgy , organic chemistry
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