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Updated: Jan 16, 2026

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特性 预测和优化 GaN CAVET 使用一种新的物理引导机器学习方法

Wenbo Wu1, Jie Wang1, Jiangtao Su1

  • 1Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University, Hangzhou 310018, China.

Micromachines
|September 27, 2025
PubMed
概括

本研究介绍了一种物理引导机器学习 (PGML) 模型,用于化 (GaN) 电流孔径垂直场效应晶体管 (CAVET). 这种新的方法使用小数据集准确预测设备特征,增强优化和模拟.

关键词:
这是TCAD TCAD.目前的孔径垂直电子晶体管垂直电子晶体管.超级网络是一个超级网络.由物理指导的人工神经网络.以物理为导向的机器学习.浅层神经网络是一种神经网络.快捷方式 快捷方式

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