2026-10-13T00:06:34Z https://www.scidb.cn/oai

10.57760/sciencedb.44208 2026-07-27T16:44:29Z

2026-07-27 CFDML/TransportBench/Cavity doi:10.57760/sciencedb.44208 en The Cavity dataset contains high-fidelity simulations of two-dimensional lid-driven rarefied gas flow in a unit-square domain. It includes 99 cases with Knudsen numbers ranging from 0.02 to 1.0, covering near-equilibrium to strongly non-equilibrium regimes. Generated using a deterministic discrete velocity method for the Boltzmann–BGK equation, the dataset provides particle distribution functions, macroscopic flow variables, stress tensors, and heat fluxes on a 50×50 spatial grid. It is intended for developing and evaluating machine-learning models for kinetic transport, high-order moment prediction, and micro–macro consistency. Rarefied gas dynamics; Lid-driven cavity; Kinetic modeling; Non-equilibrium transport 汪旭 李明昊 肖天白 PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset http://www.doi.org/10.1016/j.taml.2026.100715 Science Data Bank