Turbulence.ai: an end-to-end AI scientist for fluid mechanics
Jingsen Feng, Yuanchun Qi, Ran Xu, Sandeep Pandey, Xu Chu · Theoretical and Applied Mechanics Letters · 2025
Fluid mechanics holds an almost infinite range of unsolved questions whose answers could improve energy efficiency, environmental protection and public health. Yet progress is throttled by scarce resources—human expertise, time cost and research funding. We introduce turbulence.ai , the first fully autonomous AI scientist for fluid mechanics, designed to lift those constraints. A multi-agent architecture unifies hypothesis generation, CFD execution and draft writing. From a single natural-language query the platform (i) formulates testable ideas, (ii) orchestrates a series of numerical experiments, (iii) interprets results and (iv) produces a draft (attached). This advance inaugurates a new chapter in fluid-mechanics research and could expand human’s knowledge base by orders of magnitude.