Videos

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

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) Thumbnail

Information-theoretic approach to atomic cluster expansion (ACE)

Presenter
  • Cas van
April 10, 2024
IMSI
Machine-learning of long-range, non-bonded interactions Thumbnail

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

Presenter
  • Michele Ceriotti
April 10, 2024
IMSI
Lightning Talks for Junior Participants Thumbnail

Lightning Talks for Junior Participants

April 10, 2024
IMSI
A MACE force field for all of materials chemistry Thumbnail

A MACE force field for all of materials chemistry

Presenter
  • G\u00e1bor Csanyi
April 9, 2024
IMSI
Unpacking the ingredients of atomic representations: machine learning force fields and beyond Thumbnail

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 Thumbnail

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 Thumbnail

A Framework for Generalization Analysis of Machine-Learned Interatomic Potentials: A Case Study on Crystalline Defects

Presenter
  • Yangshuai Wang
April 9, 2024
IMSI
Lightning Talks for Junior Participants Thumbnail

Lightning Talks for Junior Participants

April 9, 2024
IMSI
Diverse data generation for machine learning potentials Thumbnail

Diverse data generation for machine learning potentials

Presenter
  • Danny Perez
April 9, 2024
IMSI
Learning Together: Towards foundation models for machine learning interatomic potentials with meta-learning Thumbnail

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

Presenter
  • Alice Allen
April 8, 2024
IMSI
Matrix Function Networks for learning non local quantum effects. Thumbnail

Matrix Function Networks for learning non local quantum effects.

Presenter
  • Ilyes Batatia
April 8, 2024
IMSI