1–6 Mar 2026
École de Physique des Houches
Europe/Paris timezone

Ultracold molecules: fundamental physics, machine learning, and the need for data

2 Mar 2026, 15:15
30m
Amphi (École de Physique des Houches)

Amphi

École de Physique des Houches

149 Chem. de la Côté, 74310 Les Houche https://houches.univ-grenoble-alpes.fr/

Speaker

Marianna Safronova (University of Delaware)

Description

Ultracold molecules provide some of the most powerful platforms for testing fundamental symmetries, including searches for permanent electric dipole moments and other signatures of physics beyond the Standard Model. I will discuss recent developments in high precision atomic theory, including our recent community code package release and neural network–assisted configuration interaction computations that accelerate large scale calculations for heavy atoms and ions relevant to EDM experiments. I will introduce our data portal project, an open, uncertainty quantified resource for precision atomic data, and outline our plans for a complementary molecular portal focused on curated bibliographies and spectroscopic data for key ultracold and EDM candidate molecules.

Presentation materials