3 papers
cs.LG2025
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang +1
Differential equations are widely used to describe complex dynamical systems with evolving parameters in nature and engineering. Effectively learning a family of maps from the para…
cond-mat.mtrl-sci2025
Atomic-scale observation of -- spin coupling in coordination structures
Xue Zhang, Xin Li, Jie Li +17
Spin coupling between magnetic metal atoms and organic radicals plays a pivotal role in high-performance magnetic materials. The complex interaction involving multi-spin centers in…
cs.LG2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
Xin Li, Jingdong Zhang, Qunxi Zhu +4
Modeling complex systems using standard neural ordinary differential equations (NODEs) often faces some essential challenges, including high computational costs and susceptibility…