An Analog Circuit Building Block Generator via Nested Multi-Fidelity Modeling-Reference-Cited by-同舟云学术

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An Analog Circuit Building Block Generator via Nested Multi-Fidelity Modeling

Published:2023-08 Issue:8 Volume:70 Page:3280-3293
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Huang Jiangli¹^ORCID,Wang Chuyu¹,Yan Yuyang²,Tao Cong¹^ORCID,Yang Fan¹^ORCID,Yan Changhao¹^ORCID,Hu Wenchuang¹,Zhou Dian³^ORCID,Zeng Xuan¹^ORCID

Affiliation:

1. Microelectronics Department, State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China

2. Microelectronics Department, Fudan University, Shanghai, China

3. Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China (NSFC) Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/8919/10196078/10129120.pdf?arnumber=10129120

Reference29 articles.

1. BAG: A designer-oriented integrated framework for the development of AMS circuit generators

2. AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs

3. A 0.096-mm$^{2}~1$ –20-GHz Triple-Path Noise- Canceling Common-Gate Common-Source LNA With Dual Complementary pMOS–nMOS Configuration

4. Transfer learning with bayesian optimization-aided sampling for efficient AMS circuit modeling

5. BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks

Cited by 2 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. Design of a compact MOSFET model suitable for geometric programming;International Journal of Electronics;2024-07-25

2. AnGeL: Fully-Automated Analog Circuit Generator Using a Neural Network Assisted Semi-Supervised Learning Approach;IEEE Transactions on Circuits and Systems I: Regular Papers;2023

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