research
∙
04/12/2022
Machine learning predictions for local electronic properties of disordered correlated electron systems
We present a scalable machine learning (ML) model to predict local elect...
share
research
∙
01/03/2022
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems
We outline the general framework of machine learning (ML) methods for mu...
research
∙
12/22/2021
Machine learning nonequilibrium electron forces for adiabatic spin dynamics
We present a generalized potential theory of nonequilibrium torques for ...
research
∙
05/27/2021
Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model
We show that the celebrated Falicov-Kimball model exhibits rich and intr...
research
∙
05/18/2021
Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation
We present large-scale dynamical simulations of electronic phase separat...
research
∙
06/07/2020
Machine learning dynamics of phase separation in correlated electron magnets
We demonstrate machine-learning enabled large-scale dynamical simulation...
research
∙
10/04/2018