Machine learning of electronic charge densities in the simulation of electrochemical interfaces

Mathieu Salanne, Andrea Grisafi

Keywords: machine-learning, electrochemical interfaces, electronic structure, molecular dynamics

TL;DR: I will show how ML techniques can be applied to the electronic structure of metallic electrodes, allowing for accurate simulations of electrochemical energy devices

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: 74