2 citations · 3 across the 5 of their papers we have counts for
Showing cond-mat.mtrl-sciShow all
2 papers · 1 filter
cond-mat.mtrl-sci2026
Atomistic prediction of magnetic behaviour across chemistry, structure and temperature
Ruosong Shi, Chengbing Chen, Bicheng Liu +15
Controlling magnetic phases and properties through composition and external conditions is central to the development of magnetic materials. Atomistic foundation models offer a rout…
cond-mat.mtrl-sci2025
Scalable Canonical and Isothermal-Isobaric Sampling of Coupled Spin-Lattice Systems with Machine-Learning Potentials
Zhengtao Huang, Yunfei Bai, Han Wang +1
Magnetic machine-learning potentials (MLPs) now reach near-first-principles accuracy on the spin-lattice potential energy surface, but the dynamics and sampling frameworks that con…