探索深层运营商网络,以预测压电离子效应

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Updated: May 22, 2025

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Shuyu Wang1,2, Dingli Zhang1, Ao Wang1

  • 1School of Control Engineering, Northeastern University at Qinhuangdao Campus, Qinhuangdao 066000, China.

The Journal of chemical physics
|March 17, 2025
PubMed
概括

这项研究引入了深度操作员网络来建模复杂的平电离子效应,大大减少了生物医学电子和离子皮肤的计算时间. 数据驱动的方法准确地捕捉了实时分析的时间动态.

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