82 citations · 534 across the 21 of their papers we have counts for
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cond-mat.dis-nn2020★ 1 cited
Analysis of Kohn-Sham Eigenfunctions Using a Convolutional Neural Network in Simulations of the Metal-insulator Transition in Doped Semiconductors
Yosuke Harashima, Tomohiro Mano, Keith Slevin +1
Machine learning has recently been applied to many problems in condensed matter physics. A common point of many proposals is to save computational cost by training the machine with…
cond-mat.dis-nn2013★ 22 cited
Critical exponent of metal-insulator transition in doped semiconductors: the relevance of the Coulomb interaction
Yosuke Harashima, Keith Slevin
We report a simulation of the metal-insulator transition in a model of a doped semiconductor that treats disorder and interactions on an equal footing. The model is analyzed using…