2 papers
physics.flu-dyn2026
Divergence-aware adaptive prediction framework for accelerating CFD simulations of unsteady flows
Xiangrui Zou, Zhuoqun Zhao, Guillermo Barragán +1
Reliable long-horizon prediction remains a challenge for data-driven CFD surrogates, because offline-trained models accumulate autoregressive errors and lose accuracy when operatin…
physics.flu-dyn2025
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…