collaborators

6 papers

cs.LG2026

Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion

Haoze Zhang, Han Li, Ke Xiao +3

Real-fluid thermodynamic property evaluation is a major computational cost in supercritical combustion simulations. In the enthalpy-based pressure-correction formulation, the closu…

cs.CV2026

PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding

Haoze Zhang, Tianyu Huang, Zichen Wan +4

While recent video generation models have achieved significant visual fidelity, they often suffer from the lack of explicit physical controllability and plausibility. To address th…

physics.flu-dyn2026

A Preliminary Assessment of Coding Agents for CFD Workflows

Ke Xiao, Haoze Zhang, Yangchen Xu +3

We investigate the use of tool-using coding agents to automate end-to-end workflows in the open-source CFD package OpenFOAM. Building on general-purpose coding agent interfaces, we…

cs.LG2026

Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows

Runze Mao, Rui Zhang, Xuan Bai +21

Predicting multiphysics dynamics is computationally expensive and challenging due to the severe coupling of multi-scale, heterogeneous physical processes. While neural surrogates p…

cs.LG2026

Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows

Ke Xiao, Haoze Zhang, Runze Mao +2

The rapid evolution of large language models (LLMs) is transforming artificial intelligence into autonomous research partners, yet a critical gap persists in complex scientific dom…

cs.CV2024

DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors

Tianyu Huang, Haoze Zhang, Yihan Zeng +4

Dynamic 3D interaction has been attracting a lot of attention recently. However, creating such 4D content remains challenging. One solution is to animate 3D scenes with physics-bas…