Lightning Talks for Junior Participants

April 9, 2024

Diverse data generation for machine learning potentials

Danny Perez
April 9, 2024

Learning Together: Towards foundation models for machine learning interatomic potentials with meta-learning

Alice Allen
April 8, 2024

Matrix Function Networks for learning non local quantum effects.

Ilyes Batatia
April 8, 2024

Pyiron: workflows for the development and assessment of interatomic potentials

Jan Janssen
April 8, 2024

Atomic cluster expansion for modeling local and semilocal atomic interactions

Ralf Drautz
April 8, 2024

Physics-Inspired Machine Learning Methods: A Status Report on Predictive Chemistry

Teresa Head-Gordon
April 8, 2024

Exploring Compositional and Configurational Chemical Space with Explainable AI

Alexandre Tkatchenko
March 29, 2024

Bridging Scales in Materials Modeling With Occam-Shaved Machine Learning

Luca Ghiringhelli
March 29, 2024