Exploiting linear models for transferability and long-range interactions

Julien Lam
April 11, 2024

Machine learning at the mesoscale: advances in analyzing and coarse-graining via data-driven approaches

Rose Cersonsky
April 11, 2024

Cartesian atomic cluster expansion for machine learning interatomic potentials

Bingqing Cheng
April 10, 2024

Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms

Cameron Owen
April 10, 2024

Information-theoretic approach to atomic cluster expansion (ACE)

Cas van der Oord
April 10, 2024

Machine-learning of long-range, non-bonded interactions

Michele Ceriotti
April 10, 2024

Lightning Talks for Junior Participants

April 10, 2024

A MACE force field for all of materials chemistry

Gábor Csanyi
April 9, 2024

Unpacking the ingredients of atomic representations: machine learning force fields and beyond

Jigyasa Nigam
April 9, 2024