A progressive symbolic regression framework discovers an interpretable analytical formula chain for skin friction prediction across subsonic to hypersonic attached flows using inviscid surface flow features.
Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020
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LLM-AutoSciLab proposes an LLM-driven closed-loop system for hypothesis generation and adaptive experiment selection that reports higher accuracy and 2-5x better sample efficiency than baselines on new chemistry and gene-network discovery benchmarks.
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Skin friction prediction for attached flows based on two-dimensional inviscid solutions
A progressive symbolic regression framework discovers an interpretable analytical formula chain for skin friction prediction across subsonic to hypersonic attached flows using inviscid surface flow features.
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LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
LLM-AutoSciLab proposes an LLM-driven closed-loop system for hypothesis generation and adaptive experiment selection that reports higher accuracy and 2-5x better sample efficiency than baselines on new chemistry and gene-network discovery benchmarks.