A reinforcement learning approach to generate equivalent circuit models for Electrochemical Impedance Spectroscopy

Ali Jaberi, Yonatan Kurniawan, Robert Black, Shayan S Mousavi Masouleh, Kabir Verma, Zoya Sadighi, Jason Hattrick-Simpers

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: reinforcement learning, electrochemical impedance spectroscopy, active learning

TL;DR: We propose a generative reinforcement learning framework for automated discovery of equivalent circuit models from EIS data that enables flexible exploration of circuit topologies without predefined classes or ground-truth labels.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 193