29 citations · 114 across the 9 of their papers we have counts for
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cond-mat.mes-hall2021★ 22 cited
Machine learning nonequilibrium electron forces for adiabatic spin dynamics
Puhan Zhang, Gia-Wei Chern
We present a generalized potential theory of nonequilibrium torques for the Landau-Lifshitz equation. The general formulation of exchange forces in terms of two potential energies…
cond-mat.str-el2021★ 29 cited
Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation
Puhan Zhang, Gia-Wei Chern
We present large-scale dynamical simulations of electronic phase separation in the single-band double-exchange model based on deep-learning neural-network potentials trained from s…
cond-mat.str-el2021★ 18 cited
Anomalous phase separation dynamics in a correlated electron system: machine-learning enabled large-scale kinetic Monte Carlo simulations
Sheng Zhang, Puhan Zhang, Gia-Wei Chern
Phase separation plays a central role in the emergence of novel functionalities of correlated electron materials. The structure of the mixed-phase states depends strongly on the no…