3 papers
cond-mat.stat-mech2024
Echo State network for coarsening dynamics of charge density waves
Clement Dinh, Yunhao Fan, Gia-Wei Chern
An echo state network (ESN) is a type of reservoir computer that uses a recurrent neural network with a sparsely connected hidden layer. Compared with other recurrent neural networ…
cond-mat.stat-mech2024
Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets
Alexa Tyberg, Yunhao Fan, Gia-Wei Chern
We present a scalable machine learning (ML) framework for large-scale kinetic Monte Carlo (kMC) simulations of itinerant electron Ising systems. As the effective interactions betwe…
cond-mat.str-el2024
Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach
Yunhao Fan, Sheng Zhang, Gia-Wei Chern
Frustrated itinerant magnets often exhibit complex noncollinear or noncoplanar magnetic orders which support topological electronic structures. A canonical example is the anomalous…