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Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2021
Recently, there have been many studies attempting to take advantage of advancements in Artificial Intelligence (AI) in Analog and Mixed-Signal (AMS) circuit design.
Morteza Fayazi   +3 more
semanticscholar   +1 more source

Generative Adversarial Networks With Comprehensive Wavelet Feature for Fault Diagnosis of Analog Circuits

IEEE Transactions on Instrumentation and Measurement, 2020
Analog circuits are one of the most commonly used components in industrial equipment. Circuit failure may lead to significant causalities and even enormous financial losses.
Wei He, Yi-Gang He, Bing Li
semanticscholar   +1 more source

GANA: Graph Convolutional Network Based Automated Netlist Annotation for Analog Circuits

Design, Automation and Test in Europe, 2020
Automated subcircuit identification and annotation enables the creation of hierarchical representations of analog netlists, and can facilitate a variety of design automation tasks such as circuit layout and optimization.
K. Kunal   +9 more
semanticscholar   +1 more source

RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits

IEEE Transactions on Instrumentation and Measurement, 2019
Fault diagnosis in electronic circuits is an emerging area of research, where fully automated diagnosis systems are being developed for the investigation of the circuits.
D. Binu, B. S. Kariyappa
semanticscholar   +1 more source

S3DET: Detecting System Symmetry Constraints for Analog Circuits with Graph Similarity

Asia and South Pacific Design Automation Conference, 2020
Symmetry and matching between critical building blocks have a significant impact on analog system performance. However, there is limited research on generating system level symmetry constraints.
Mingjie Liu   +8 more
semanticscholar   +1 more source

Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI

arXiv.org
Masala-CHAI is a fully automated framework leveraging large language models (LLMs) to generate Simulation Programs with Integrated Circuit Emphasis (SPICE) netlists.
Jitendra Bhandari   +5 more
semanticscholar   +1 more source

LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits

International Conference on Machine Learning
In the realm of electronic and electrical engineering, automation of analog circuit is increasingly vital given the complexity and customized requirements of modern applications. However, existing methods only develop search-based algorithms that require
Chen-Chia Chang   +7 more
semanticscholar   +1 more source

Multiagent Based Reinforcement Learning (MA-RL): An Automated Designer for Complex Analog Circuits

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Despite the effort of analog circuit design automation, currently complex analog circuit design still requires extensive manual iterations, making it labor intensive and time-consuming.
Jiarui Bao   +6 more
semanticscholar   +1 more source

An Automated Topology Synthesis Framework for Analog Integrated Circuits

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020
This article presents an analog integrated circuit automated topology synthesis framework, where circuit topology synthesis can be efficiently realized by encoding circuit topology generation process as tree structure construction.
Zhenxin Zhao, Li-Hong Zhang
semanticscholar   +1 more source

A novel fault diagnostic method for analog circuits using frequency response features

Review of Scientific Instruments, 2019
Analog circuits are an important component of complex electrical systems. Therefore, fault diagnosis of analog circuits plays a vital role in ensuring the reliability of electronic systems. A novel fault diagnostic method for analog circuits based on the
Tian-Yu Gao   +3 more
semanticscholar   +1 more source

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