Machine Learning Techniques for Modeling and Performance Analysis of Interconnects
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Medicine
Link
http://xplorestaging.ieee.org/ielx7/8782713/9316416/09640578.pdf?arnumber=9640578
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Incorporation of tungsten or cobalt into TaN barrier layers controls morphology of deposited copper;Journal of Physics: Materials;2023-06-30
2. Inverse Design of On-Chip Interconnect via Transfer Learning-Based Deep Neural Networks;IEEE Transactions on Components, Packaging and Manufacturing Technology;2023-06
3. A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors;IEEE Open Journal of Nanotechnology;2023
4. Ensemble machine learning algorithms for analysis of noise characteristics in electronic circuits;APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’22): Proceedings of the 48th International Conference “Applications of Mathematics in Engineering and Economics”;2023
5. GPR-Based Framework for Statistical Analysis of Gate Delay under NBTI and Process Variation Effects;Electronics;2022-04-22
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