activity
20242026
collaborators

6 papers

cs.LG2026

Deep Mesoscopic Dynamics

Yue Zhao, Shiqi Wu, Yihang Ouyang +6

Microscopic simulations resolve spatial patterns but are feasible only over small domains and short timescales, whereas bulk descriptions erase those patterns through spatial avera…

cond-mat.mtrl-sci2026

Interfacial melting as a thermodynamic indicator of solid-state synthesizability

Zihan Zhang, Mengyi Chen, Qianxiao Li +1

Computational materials discovery commonly ranks candidate materials by their thermodynamic stability on the formation energy convex hull, yet many predicted-stable phases resist s…

cs.LG2026

Learning Permutation-invariant Macroscopic Dynamics

Zhichao Han, Mengyi Chen, Qianxiao Li

Accurately modeling the macroscopic dynamics of high-dimensional microscopic systems is of broad interest across the sciences. Many data-driven approaches learn a low-dimensional l…

cs.LG2026

Hypothesis-driven construction of mesoscopic dynamics

Zhuoyuan Li, Aiqing Zhu, Qianxiao Li

Traditional scientific modeling typically begins with fixed, instance-wise effective equations and then carries out equation-specific analysis and computation, a procedure that bec…

physics.comp-ph2025

Scalable learning of macroscopic stochastic dynamics

Mengyi Chen, Pengru Huang, Kostya S. Novoselov +1

Macroscopic dynamical descriptions of complex physical systems are crucial for understanding and controlling material behavior. With the growing availability of data and compute, m…

cs.LG2024

Learning Macroscopic Dynamics from Partial Microscopic Observations

Mengyi Chen, Qianxiao Li

Macroscopic observables of a system are of keen interest in real applications such as the design of novel materials. Current methods rely on microscopic trajectory simulations, whe…