1 citations · 1 across the 14 of their papers we have counts for
14 papers
Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets
Ali Rayat, Yunhao Fan, Gia-Wei Chern
Metallic magnets exhibit complex spin dynamics governed by electronically generated interactions. Predictive simulations of such dynamics typically require repeated solutions of an…
Magnetic HIP-NN for spin dynamics in disordered itinerant magnets
Supriyo Ghosh, Yunhao Fan, Sheng Zhang +2
We present a magnetic extension of the Hierarchically Interacting Particle Neural Network (HIP-NN) that enables large-scale simulations of electron-mediated spin dynamics in disord…
Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems
Gia-Wei Chern, Yunhao Fan, Sheng Zhang +1
We review recent advances in machine-learning (ML) force-field methods for large-scale Landau-Lifshitz-Gilbert (LLG) simulations of metallic spin systems. We generalize the Behler-…
Graph neural network force fields for adiabatic dynamics of lattice Hamiltonians
Yunhao Fan, Gia-Wei Chern
Scalable and symmetry-consistent force-field models are essential for extending quantum-accurate simulations to large spatiotemporal scales. While descriptor-based neural networks…
Machine-learning force-field models for dynamical simulations of metallic magnets
Gia-Wei Chern, Yunhao Fan, Sheng Zhang +1
We review recent advances in machine learning (ML) force-field methods for Landau-Lifshitz-Gilbert (LLG) simulations of itinerant electron magnets, focusing on scalability and tran…
Machine Learning Modeling of Charge-Density-Wave Recovery After Laser Melting
Sankha Subhra Bakshi, Yunhao Fan, Gia-Wei Chern
We investigate the nonequilibrium dynamics of a laser-pumped two-dimensional spinless Holstein model within a semiclassical framework, focusing on the melting and recovery of long-…
Machine learning nonequilibrium phase transitions in charge-density wave insulators
Yunhao Fan, Sheng Zhang, Gia-Wei Chern
Nonequilibrium electronic forces play a central role in voltage-driven phase transitions but are notoriously expensive to evaluate in dynamical simulations. Here we develop a machi…
Equivariant Neural Networks for Force-Field Models of Lattice Systems
Yunhao Fan, Gia-Wei Chern
Machine-learning (ML) force fields enable large-scale simulations with near-first-principles accuracy at substantially reduced computational cost. Recent work has extended ML force…
Machine Learning Force-Field Approach for Itinerant Electron Magnets
Sheng Zhang, Yunhao Fan, Kotaro Shimizu +1
We review the recent development of machine-learning (ML) force-field frameworks for Landau-Lifshitz-Gilbert (LLG) dynamics simulations of itinerant electron magnets, focusing on t…
Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations
Yang Yang, Chen Cheng, Yunhao Fan +1
The phase ordering kinetics of emergent orders in correlated electron systems is a fundamental topic in non-equilibrium physics, yet it remains largely unexplored. The intricate in…
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…
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…
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…
Nonequilibrium Dynamics of Gating-Induced Resistance Transition in Charge Density Wave Insulators
Sheng Zhang, Yunhao Fan, Gia-Wei Chern
We present a comprehensive numerical investigation of the gate-induced insulator-to-metal transition in the charge-density-wave (CDW) phase of the Holstein model. Large-scale Brown…