most citedA low-dissipation reconstruction scheme for compressible single- and multi-phase flows based on artificial neural networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2024

A Robust and Efficient Multi-physics Numerical System for Intensive Blast Wave Propagation in Complex Environments

Minsheng Huang, Pan Wang, Chengbao Yao +2

We establish a high-resolution, high-performance, and high-confidence compressible multiphysics system in a Cartesian grid with irregular boundary topologies to simulate intensive…

physics.flu-dyn2024

Physics-informed Data-driven Cavitation Model for a Specific MG EOS

Minsheng Huang, Chengbao Yao, Pan Wang +2

We present a novel one-fluid cavitation model of a specific Mie-Grüneisen equation of state(EOS), named polynomial EOS, based on an artificial neural network. Not only the physics-…

physics.flu-dyn2024★ 1 cited

A low-dissipation reconstruction scheme for compressible single- and multi-phase flows based on artificial neural networks

Minsheng Huang, Lidong Cheng, Wenjun Ying +2

Solving compressible flows containing both smooth and discontinuous flow structures remains a significant challenge for finite volume methods. Godunov-type finite volume methods ar…