MetaOpenFOAM 2.0 transforms Computational Fluid Dynamics by using Chain of Thought reasoning in Large Language Models to automate complex simulation workflows and post-processing tasks.

• Enables non-experts to run sophisticated CFD simulations through natural language instructions
• Employs iterative verification to ensure accurate results and identify errors
• Bridges the gap between LLM capabilities and the technical demands of fluid dynamics simulation
• Creates new possibilities for rapid prototyping and analysis in aerospace engineering

For aerospace applications, this technology significantly reduces the expertise barrier for simulating aerodynamic flows, thermal systems, and propulsion components—accelerating design cycles and innovation.

MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-Processing