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Domain knowledge-infused deep learning for automated analog/radio-frequency circuit parameter optimization

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.vlsi.2008.04.003openalex-snapshot

Analog circuit optimization system based on hybrid evolutionary algorithms

inferredcites →https://doi.org/10.1109/dac18072.2020.9218515openalex-snapshot

ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks

inferredcites →https://doi.org/10.1109/tcad.2019.2961322openalex-snapshot

An Artificial Neural Network Assisted Optimization System for Analog Design Space Exploration

inferredcites →https://doi.org/10.1109/vdat53777.2021openalex-snapshot

2021 25th International Symposium on VLSI Design and Test (VDAT)

inferredcites →https://doi.org/10.1109/wmcas.2016.7577491openalex-snapshot

A 300MHz to 1200MHz saturated broadband amplifier in GaN for 2W applications

inferredcites →https://doi.org/10.1145/1273496openalex-snapshot

Proceedings of the 24th international conference on Machine learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/s11831-026-10648-xopenalex-snapshot

Advancements and Applications of Generative Artificial Intelligence in Electronic Circuit Design: A Comprehensive Survey

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Harnessing artificial neural networks for inverse design and analysis of MEMS-based Fabry–Pérot filters

inferred← citeshttps://doi.org/10.1016/j.vlsi.2025.102460openalex-snapshot

Reinforcement learning in integrated circuits: Design, synthesis, layout, and hardware security

inferred← citeshttps://doi.org/10.1016/j.vlsi.2026.102843openalex-snapshot

Towards automatic analog circuit design via GA-enhanced deep reinforcement learning

inferred← citeshttps://doi.org/10.1038/s44287-024-00076-zopenalex-snapshot

Opportunities and challenges of graph neural networks in electrical engineering

inferred← citeshttps://doi.org/10.1109/access.2023.3345795openalex-snapshot

From Graph Theory to Graph Neural Networks (GNNs): The Opportunities of GNNs in Power Electronics

inferred← citeshttps://doi.org/10.1109/access.2024.3478832openalex-snapshot

An Open-Source AMS Circuit Optimization Framework Based on Reinforcement Learning—From Specifications to Layouts

inferred← citeshttps://doi.org/10.1109/access.2024.3496917openalex-snapshot

Circuit2Graph: Diodes as Asymmetric Directional Nodes

inferred← citeshttps://doi.org/10.1109/dac56929.2023.10247991openalex-snapshot

RoSE: Robust Analog Circuit Parameter Optimization with Sampling-Efficient Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132555openalex-snapshot

Late Breaking Results: Opera: An Open and Efficient Platform for Data-driven Synthesis of Analog Circuits

inferred← citeshttps://doi.org/10.1109/dac63849.2025.11132798openalex-snapshot

AdreamDCO: AI-Driven Robust and Efficient Design Automation for Digitally Controlled Oscillators

inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133012openalex-snapshot

EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits

inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133292openalex-snapshot

INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers

inferred← citeshttps://doi.org/10.1109/iccad57390.2023.10323720openalex-snapshot

Design and Optimization of Low-Dropout Voltage Regulator Using Relational Graph Neural Network and Reinforcement Learning in Open-Source SKY130 Process

inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240792openalex-snapshot

Invited Paper: Multi-Agent Generative Synthesis for Analog/RF Circuit: from Scalable Topology Generation to Efficient Inverse Design

inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240831openalex-snapshot

Invited Paper: Towards Generative AI for Analog and RF IC Design: From Spec to Layout

inferred← citeshttps://doi.org/10.1109/iscas56072.2025.11043434openalex-snapshot

Accelerating Comprehensive Specification Optimization of Analog Circuits Using Transient Assertions and Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11563029openalex-snapshot

Topology-Aware GNN Embedding with Domain Priors and Graph Policy Regularization for Balanced Multi-Objective Analog IC Design

inferred← citeshttps://doi.org/10.1109/isoirs70157.2026.11545258openalex-snapshot

Parameter Optimization of Low-Dropout Voltage Regulators Using Relational Graph Attention Network and Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/mlcad65511.2025.11189059openalex-snapshot

Schemato – An LLM for Netlist-to-Schematic Conversion

inferred← citeshttps://doi.org/10.1109/mms59938.2023.10421610openalex-snapshot

Review on Analog Circuit Optimization Using Deep Learning Algorithm

inferred← citeshttps://doi.org/10.1109/smacd58065.2023.10192204openalex-snapshot

Reinforcement Learning for Analog Sizing Optimization

inferred← citeshttps://doi.org/10.1109/smacd61181.2024.10745428openalex-snapshot

Advanced Analog Design Optimization: Comparison Between Reinforcement Learning and Heuristic Algorithms

inferred← citeshttps://doi.org/10.1109/tcad.2024.3435692openalex-snapshot

RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization With Knowledge-Infused Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/tpel.2024.3485021openalex-snapshot

Equivalent Circuit for Single/Three Phase Magnetic Coupling With Graph Neural Networks

inferred← citeshttps://doi.org/10.1145/3754339openalex-snapshot

Analog and Mixed-Signal IC Modeling and Optimization: An Artificial Intelligence Perspective

inferred← citeshttps://doi.org/10.1145/3787109.3815315openalex-snapshot

Learning to Place Chiplets: A Multi-Objective Reinforcement Learning Approach

inferred← citeshttps://doi.org/10.2139/ssrn.5344423openalex-snapshot

Deep Learning Model for Global Analog Circuit Parameter Optimization

inferred← citeshttps://doi.org/10.3390/electronics14173541openalex-snapshot

Analog Design and Machine Learning: A Review

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