5 papers
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…
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…
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…
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…
Enhancing deep learning of ammonia/natural gas combustion kinetics via physics-aware data augmentation and scale separation
Ke Xiao, Yangchen Xu, Han Li +1
Accurate and efficient numerical simulation of ammonia combustion is critical for advancing ammonia-based energy systems, where turbulent flame dynamics and pollutant formation str…