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

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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…

physics.flu-dyn2025★ 1 cited

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…