Liquid metal microfluidic cooling system for high-efficiency thermal management via learning-based genetic algorithm

High heat flux density is a critical factor that limits the performance and reliability of miniaturized, high-power microelectronic systems. This study proposes a liquid metal (LM)-based microfluidic cooling system optimized through a data-driven computational framework based on an enhanced Genetic...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 161; S. 112324
Hauptverfasser:	Wang, Yucheng, Bi, Antong, Chen, Kaiyu, Yu, Shenxin, Gao, Wanping, Zhang, Wenyi, Wu, Yuwan, Li, Zhiqiang, Wang, Shaoxi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 12.12.2025
Schlagworte:	Algorithm-guided parameter tuning Enhanced genetic algorithm Liquid metal Microfludic cooling Thermal management Thermal management Liquid metal Microfludic cooling Enhanced genetic algorithm Algorithm-guided parameter tuning
ISSN:	0952-1976
Online-Zugang:	Volltext
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