Machine Learning in the Analog Circuit Simulation Loop

This paper presents the software coupling of an analog circuit simulator (ACS) to a machine learning (ML) execution engine, in order to enable usage of ML models in circuit simulation context. This is achieved by interfacing Infineon’s in-house simulator, TITAN, with the widely accepted machine learning framework TensorFlow (TF), via an easy to use Verilog-A API. Here we introduce the basic characteristics of this interface and present an application example for its usage in analog circuit behavioral modeling.