25 citations · 39 across the 5 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 8 cited
AI-accelerated Materials Informatics Method for the Discovery of Ductile Alloys
Ivan Novikov, Olga Kovalyova, Alexander Shapeev +1
In computational materials science, a common means for predicting macroscopic (e.g., mechanical) properties of an alloy is to define a model using combinations of descriptors that…
cond-mat.mtrl-sci2021★ 25 cited
Machine-learning potentials enable predictive tractable high-throughput screening of random alloys
Max Hodapp, Alexander Shapeev
We present an automated procedure for computing stacking fault energies in random alloys from large-scale simulations using moment tensor potentials (MTPs) with the accuracy of den…