An efficient machine learning-enhanced DTCO framework for low-power and high-performance circuit design

An efficient machine learning-enhanced DTCO framework for low-power and high-performance circuit design

The standard design technology co-optimization (DTCO) involves frequent interactions between circuit design and process manufacturing, which requires several months. To assist designers in establishing a bridge between device parameters and circuit metrics efficiently, and provide guidance for param...

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Bibliographic Details
Main Authors: Mingyang Liu, Zhengguang Tang, Hailong You, Cong Li, Guangxin Guo, Zeyuan Wang, Linying Zhang, Xingming Liu, Yu Wang, Yong Dai, Geng Bai, Xiaoling Lin
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-05-01
Series:Journal of Information and Intelligence
Subjects:
Machine learning
Design technology co-optimization (DTCO)
Cell library
Work function
Parameter extraction
Online Access:http://www.sciencedirect.com/science/article/pii/S2949715925000010
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http://www.sciencedirect.com/science/article/pii/S2949715925000010

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