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Towards an AI Fluid Scientist: LLM-Powered Scientific Discovery in Experimental Fluid Mechanics
This paper introduces an AI Fluid Scientist framework that automates the entire experimental fluid mechanics workflow, from hypothesis generation to manuscript preparation, using a multi-agent LLM system and a computer-controlled water tunnel. It demonstrates the framework's ability to reproduce benchmarks, discover new phenomena, and generate robust scientific findings with minimal human intervention.