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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}
}