12 citations · 12 across the 7 of their papers we have counts for
8 papers
Total-Lagrangian vectorial lattice Boltzmann method for finite-strain hyperelasticity with curved boundaries
Jingsen Feng, Xu Chu
Finite-strain hyperelasticity on curved embedded domains poses a geometric challenge for lattice Boltzmann methods. After streaming across an embedded material surface, the missing…
A total-Lagrangian vectorial lattice Boltzmann method for finite-strain hyperelastic dynamics
Jingsen Feng, Xu Chu
Inspired by the vectorial lattice Boltzmann method for linear elastodynamics \citep{boolakee2025linear}, we construct a total-Lagrangian vectorial lattice Boltzmann formulation for…
Transient and asymptotic Taylor--Aris dispersion of Brownian rods in arbitrary regular-polygonal ducts
Jingsen Feng, Xu Chu
Taylor--Aris dispersion of Brownian rods in non-circular ducts is governed by a coupling absent from passive-scalar theory. Pressure-driven shear aligns the rods and makes translat…
Shear alignment and tensorial Taylor--Aris dispersion of Brownian rods in a circular tube
Jingsen Feng, Xu Chu
Brownian rods disperse in pressure-driven flow through a coupling between axial shear, anisotropic translational diffusion and Jeffery--Brownian rotation. Classical tube Taylor--Ar…
Entropic lattice Boltzmann method for general anisotropic advection--diffusion
Jingsen Feng, Jing Leng, Jingchao Jiang +1
Many transport processes exhibit direction-dependent diffusion, described macroscopically by the full-tensor anisotropic advection--diffusion equation (ADE). Numerical discretizati…
Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
Ran Xu, Yupeng Qi, Jingsen Feng +1
In modern engineering practice, human engineers collaborate in specialized teams to design complex products, with each expert completing their respective tasks while communicating…
OpenFOAMGPT 2.0: end-to-end, trustworthy automation for computational fluid dynamics
Jingsen Feng, Ran Xu, Xu Chu
We propose the first multi agent framework for computational fluid dynamics that enables fully automated, end to end simulations directly from natural language queries. The approac…
A Status Quo Investigation of Large Language Models towards Cost-Effective CFD Automation with OpenFOAMGPT: ChatGPT vs. Qwen vs. Deepseek
Wenkang Wang, Ran Xu, Jingsen Feng +2
We evaluated the performance of OpenFOAMGPT incorporating multiple large-language models. Some of the present models efficiently manage different CFD tasks such as adjusting bounda…