mlsanityData to 7 Oct 2026

Emerging ML-AI Techniques for Analog and RF EDA

arXiv 2506.00007 ↗First posted 12 May 2025cs.AR cs.CE cs.LGcited by 1

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Abstract (arXiv)

This survey explores the integration of machine learning (ML) into EDA workflows for analog and RF circuits, addressing challenges unique to analog design, which include complex constraints, nonlinear design spaces, and high computational costs. State-of-the-art learning and optimization techniques are reviewed for circuit tasks such as constraint formulation, topology generation, device modeling, sizing, placement, and routing. The survey highlights the capability of ML to enhance automation, improve design quality, and reduce time-to-market while meeting the target specifications of an analog or RF circuit. Emerging trends and cross-cutting challenges, including robustness to variations and considerations of interconnect parasitics, are also discussed.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 82 references that are in the map. First posted on arXiv 12 May 2025.

Builds on

11 of 82 references.

References · 11

  1. 2020GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learningcited by 89
  2. 2024ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Modelscited by 44
  3. 2024AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Portingcited by 29
  4. 2021DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networkscited by 18
  5. 2021An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemblecited by 13
  6. 2019BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networkscited by 11
  7. 2020A general approach for identifying hierarchical symmetry constraints for analog circuit layoutcited by 9
  8. 2022TAG: Learning Circuit Spatial Embedding From Layoutscited by 9
  9. 2024RoSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learningcited by 9
  10. 2020ALIGN: A System for Automating Analog Layoutcited by 8
  11. 2022RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RLcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizingcited by 0