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Updated: Jul 2, 2025

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基于集成学习模型的GAAFET电气性能预测

Xuyan Zhang1, Siyu Chen1, Shulong Wang1

  • 1The School of Microelectronics, Xidian University, Xi'an 710071, People'Republic of China.

Nanotechnology
|February 22, 2024
PubMed
概括

本研究介绍了一种集成的深度学习和机器学习模型,用于预测网关全方位场效应晶体管 (GAAFET) 的电特性. 该模型比传统方法提供更快,更准确的预测,有助于微电子技术的发展.

关键词:
这就是GAAFET的意义.电气性能 电气性能 电气性能神经网络的神经网络的神经网络技术计算机辅助设计 (TCAD)

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