IEEE

Efficient Circuit Performance Prediction Using Machine Learning: From Schematic to Layout and Silicon Measurement with Minimal Data Input

Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...
GitHub

circuit-synth

What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...
Hackaday

Making Actually Useful Schematics In KiCad

Andrew Greenberg] has some specific ideas for how open-source hardware hackers could do a better job with their KiCad schematics. In his work with students at Portland State University, [Andrew] ...
IEEE

Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains

Abstract: When studying electrochemical systems, EIS practitioners face the challenge of choosing a relevant equivalent electrical circuit to analyze their measurement data and interpreting the role ...