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Updated: Jul 27, 2025

Experimental Multiscale Methodology for Predicting Material Fouling Resistance
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通过深度学习辅助的理论见解,了解环保绝缘介质与电力设备金属表面的兼容性

Xuhao Wan1, Zhaofu Zhang2, Anyang Wang3

  • 1School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei 430072, China; Department of Engineering, Cambridge University, Cambridge CB2 1PZ, United Kingdom.

Journal of colloid and interface science
|June 10, 2023
PubMed
概括

一种新的环保气体,三甲基硫烯化物 (CF3SO2F),与常见的电气设备材料如Cu,CuO和Al2O3具有很好的兼容性,使其成为温室气体硫化物 (SF6) 的有希望的替代品. 这项研究评估了它对于低碳电力行业的气体固体兼容性.

关键词:
在CF(3)SO(2)FF深度学习是一种深度学习.第一个原则第一原则.气体固体兼容性 气体固体兼容性分子动力学分子动力学

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