使CNT.

Wael Z Tawfik1, Mohamed Shaban2, Athira Raveendran3

  • 1Physics Department, Faculty of Science, Beni-Suef University Beni-Suef 62511 Egypt wael.farag@science.bsu.edu.eg.

RSC advances
|January 31, 2025
PubMed
概括

人工神经网络 (ANN) 准确预测了碳纳米管 (CNT) 超级电容器电容,超过了其他机器学习模型. 灵敏度分析揭示了影响超级电容性能的关键因素.

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