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Updated: May 8, 2025

Synthesis of Graphene Nanofluids with Controllable Flake Size Distributions
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基于水的氧化石墨烯基基基单体和混合纳米流体的导热率和粘度的实验和可解释的机器学习方法

Praveen Kumar Kanti1,2, Prabhu Paramasivam3,4, V Vicki Wanatasanappan5

  • 1Institute of Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Selangor, 43000, Malaysia. praveen.kumar@uniten.edu.my.

Scientific reports
|December 27, 2024
PubMed
概括

这项研究研究了含有二氧化,氧化石墨烯和二氧化的水性纳米流体. 混合纳米流体显示了增强的导热性和粘度,石墨烯氧化物显示了最显著的改善.

关键词:
可解释的ML可以解释石墨烯氧化物 石墨烯氧化物混合纳米流体的混合.回归是一种回归.二氧化二氧化的使用情况.

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