Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add category Universal Potentials #279

Open
1 of 2 tasks
Irratzo opened this issue May 15, 2024 · 0 comments
Open
1 of 2 tasks

Add category Universal Potentials #279

Irratzo opened this issue May 15, 2024 · 0 comments
Labels
category Add or update a category to the best-of list

Comments

@Irratzo
Copy link
Member

Irratzo commented May 15, 2024

  • Add category
  • Update category:

Category details:

  • Category ID: uip
  • Category Title: Universal Potentials
  • Description: Machine-learned interatomic potentials (ML-IAP) that have been trained on large, chemically and structural diverse datasets. For materials, datasets that include a majority of the periodic table.
  • Category Subtitle:

Additional context:

Since ca. 2023, universal potentials start to appear. Some have already beend added here. Initial examples include M3GNet, CHGNet, MACE-MP0 and others.

Care should be taken to sharpen the definition.

Possible overlaps, future conflicts with related concepts. Foundation models, multi-modal and multi-target learning models and frameworks.

@Irratzo Irratzo added the category Add or update a category to the best-of list label May 15, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
category Add or update a category to the best-of list
Projects
None yet
Development

No branches or pull requests

1 participant