Yunhao Fan

According to our database, Yunhao Fan authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems.

Gia-Wei Chern, Yunhao Fan, Sheng Zhang, Puhan Zhang

CoRR, April, 2026

Graph neural network force fields for adiabatic dynamics of lattice Hamiltonians.

Yunhao Fan, Gia-Wei Chern

CoRR, March, 2026

Machine-learning force-field models for dynamical simulations of metallic magnets.

Gia-Wei Chern, Yunhao Fan, Sheng Zhang, Puhan Zhang

CoRR, February, 2026

Machine learning nonequilibrium phase transitions in charge-density wave insulators.

Yunhao Fan, Sheng Zhang, Gia-Wei Chern

CoRR, January, 2026

Equivariant Neural Networks for Force-Field Models of Lattice Systems.

Yunhao Fan, Gia-Wei Chern

CoRR, January, 2026

2025

Machine Learning Force-Field Approach for Itinerant Electron Magnets.

Sheng Zhang, Yunhao Fan, Kotaro Shimizu, Gia-Wei Chern

CoRR, January, 2025

Federated Learning and Optimization for Few-Shot Image Classification.

Yi Zuo, Zhenping Chen, Jing Feng, Yunhao Fan

Comput. Mater. Continua, 2025

2024

Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations.

Yang Yang, Chen Cheng, Yunhao Fan, Gia-Wei Chern

CoRR, 2024

Echo State network for coarsening dynamics of charge density waves.

Clement Dinh, Yunhao Fan, Gia-Wei Chern

CoRR, 2024

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets.

Alexa Tyberg, Yunhao Fan, Gia-Wei Chern

CoRR, 2024

Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach.

Yunhao Fan, Sheng Zhang, Gia-Wei Chern

CoRR, 2024