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Exploiting linear models for transferability and long-range interactions
Presenter
- Julien Lam
April 11, 2024
IMSI
Machine learning at the mesoscale: advances in analyzing and coarse-graining via data-driven approaches
Presenter
- Rose Cersonsky
April 11, 2024
IMSI
Cartesian atomic cluster expansion for machine learning interatomic potentials
Presenter
- Bingqing Cheng
April 10, 2024
IMSI
Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms
Presenter
- Cameron Owen
April 10, 2024
IMSI
Information-theoretic approach to atomic cluster expansion (ACE)
Presenter
- Cas van
April 10, 2024
IMSI
Machine-learning of long-range, non-bonded interactions
Presenter
- Michele Ceriotti
April 10, 2024
IMSI
Unpacking the ingredients of atomic representations: machine learning force fields and beyond
Presenter
- Jigyasa Nigam
April 9, 2024
IMSI
Environment-adaptive machine learning potentials for atomistic simulations of materials under extreme conditions
Presenter
- Ngoc-Cuong Nguyen
April 9, 2024
IMSI
A Framework for Generalization Analysis of Machine-Learned Interatomic Potentials: A Case Study on Crystalline Defects
Presenter
- Yangshuai Wang
April 9, 2024
IMSI
