2 papers
cond-mat.mtrl-sci2026
FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates
Zishuo Lan, Junjie Li, Lei Wang +1
Autoregressive learning of time-stepping operators provides an effective approach to data-driven partial differential equation (PDE) simulation, yet for conservation laws, they fac…
cond-mat.mtrl-sci2025
Scalable data-driven modeling of microstructure evolution by learning local dependency and spatiotemporal translation invariance rules in phase field simulation
Zishuo Lan, Qionghuan Zeng, Weilong Ma +10
Phase-field (PF) simulation provides a powerful framework for predicting microstructural evolution but suffers from prohibitive computational costs that severely limit accessible s…