Coupling machine learning and DFT in the discovery and optimization of novel refractory high entropy alloy (RHEA) materials.
Author(s) -
Jacob Startt
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2172/1862642
Subject(s) - alloy , coupling (piping) , computer science , materials science , refractory (planetary science) , entropy (arrow of time) , physics , metallurgy , thermodynamics
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