2 papers
physics.flu-dyn2026
Physics-Guided Generative Surrogates for Parametric Rarefied Flows with Neural-Field Auto-Decoders: A Pipeline-Level Study of Flow Matching and Diffusion
Yiming Qi, Guan Zhang, Xu Wang +2
We present a conditional latent generative framework for parametric rarefied flows that separates neural-field representation, latent transport, and frozen physics adaptation. Neur…
physics.comp-ph2026
TransportBench: A Comprehensive Benchmark for Non-Equilibrium Flow Transport
Xu Wang, Minghao Li, Qizhen Hong +6
Scientific machine learning models, as versatile tools for numerical simulation and analysis, are increasingly transforming the landscape of fluid mechanics research. However, exis…