On Monday, December 11, 2023, at 12:00 c.t., the next date of our Physics Colloquium will take place.
Speaker is Prof. Dr. Miguel Marques (RUB) on the topic "Machine Learning Conventional Superconductors".
We perform a large scale study of conventional superconducting materials using a machine-learning accelerated high-throughput workflow. We start by creating a comprehensive dataset of around 7000 electron-phonon calculations performed with reasonable convergence parameters. This dataset is then used to train a robust machine learning model capable of predicting the electron-phonon and superconducting properties based on structural, compositional, and electronic ground-state properties. Using this machine, we evaluate the transition temperature (Tc) of approximately 200000 metallic compounds, all of which on the convex hull of thermodynamic stability (or close to it) to maximize the probability of synthesizability. Compounds predicted to have Tc values exceeding 5 K are further validated using density-functional perturbation theory.
As a result, we identify 541 compounds with Tc values surpassing 10 K, encompassing a variety of crystal structures and chemical compositions. We also identified a series of (thermodynamically unstable) hydride compounds that superconduct at temperatures reaching more than 80 K at ambient pressure.
Abstract of the lecture by Prof. Marques
The introduction will be given by Prof. Dr. Ilya Eremin.
The faculty cordially invites all interested parties. The event will take place in the lecture hall HZO 20. Before the colloquium we offer coffee and cookies.
All dates of the Physics Colloquium can be found here.