2 papers
physics.flu-dyn2026
Toward a unified data-driven turbulence model through multi-objective learning
Zhuoran Liu, Haochen Wang, Zhuolin Zhao +1
Turbulence remains one of the last unresolved problems of classical physics and a major bottleneck to accurate flow prediction in climate, aerospace, and energy systems. Industrial…
stat.ML2024
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework
Xu-Hui Zhou, Zhuo-Ran Liu, Heng Xiao
Bayesian inference offers a robust framework for updating prior beliefs based on new data using Bayes' theorem, but exact inference is often computationally infeasible, necessitati…