mlsanityData to 14 Oct 2026

K-TRAIL: Simulator-Guided Generative Design of EM/RF Circuits

arXiv 2609.23183 ↗First posted 19 Sep 2026cs.LGcited by 1

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Abstract (arXiv)

Inverse design of RF and electromagnetic (EM) circuits is challenging because the relationship between circuit layout and electrical response is non-unique, and full-wave simulation is computationally expensive. This paper presents K-TRAIL, a simulator-guided generative framework for automated EM/RF circuit synthesis. K-TRAIL combines diffusion-based layout generation with derivative-free ensemble Kalman guidance, allowing feedback from a black-box EM simulator to refine candidate layouts during generation without requiring adjoint sensitivities or differentiable solver models. The framework supports both synthesis from prescribed S-parameter responses and synthesis directly from RF performance constraints. Experiments on multi-layer RFIC structures show that simulator-guided generation improves agreement with target responses and can identify structurally distinct layouts that satisfy circuit-level design requirements. The proposed approach provides a practical path toward generative, verification-aware RF circuit design while retaining the flexibility to explore diverse layout topologies.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 40 references that are in the map. First posted on arXiv 19 Sep 2026.

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5 of 40 references.

References · 5

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2020Denoising Diffusion Implicit Modelscited by 9,781
  3. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,416
  4. 2024Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problemscited by 19
  5. 2026Inverse Design of Multi-Layer Sub-Pixel-Resolution RF Passives Through Grayscale Diffusion with Flexible S-Parameter Conditioningcited by 2

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