9 papers
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…
Julia for CFD: A Critical Survey of Ecosystem, Performance, and Composability
Tianbai Xiao
Modern CFD increasingly places simulation inside workflows for design, inference, optimization, and data-driven modeling, creating pressure to connect physical models, numerical ke…
Physics informed wavelet Fourier representation for multiscale fluid dynamics
Chao Wang, Shilong Li, Yunpeng Wang +4
Multiscale fluid flows often contain localized flow structures, such as viscous shock layers, wet-dry fronts, steady viscous wakes, decaying vortical structures, and vortex-sheddin…
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…
An immersed boundary method for the discrete velocity model of the Boltzmann equation
Longqing Ge, Qingdong Cai, Yonghao Zhang +1
Computational modeling and simulation of fluid-structure interactions constitute a fundamental cornerstone for advancing aerospace engineering endeavors. This paper addresses the n…
An efficient solution algorithm for force-driven continuum and rarefied flows
Shuangqing Liu, Zuoxu Li, Yonghao Zhang +1
Gaseous flows under an external force are intrinsically defined by their multi-scale nature due to the large variation of densities along the forcing direction. Devising a numerica…