2026 Submitted Energy & AISCI液冷多智能体Bayesian surrogate
Autonomous CFD Optimization of Liquid Cold Plate Geometry via Multi-Agent LLM and Bayesian Surrogate
李飞团队 · Energy & AI
Submitted to Energy & AI, this work builds an autonomous CFD optimization pipeline combining multi-agent LLM search and Bayesian surrogate optimization for liquid cold plate geometry.
该论文可为 Projects 页中的“液冷散热冷板自动化研究流水线”提供关联成果。
BibTeX
@article{li2026liquidcoldplate,
title = {Autonomous CFD Optimization of Liquid Cold Plate Geometry via Multi-Agent LLM and Bayesian Surrogate},
author = {Li, Fei and Team},
journal = {Energy & AI},
year = {2026},
note = {Submitted, EAI-D-26-00245}
}