You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This would entail adding it as a supported calculator method in quacc.recipes.mlp._base.pick_calculator, updating the method type hints in the quacc.recipes.mlp functions to include SevenNet, adding some tests to the test suite, and adding sevenn to pyproject.toml.
## Summary of Changes
Added **sevennet** to the MLP recipes based on issue #2429.
Key changes include:
1. Added sevennet implementation to mlp recipes
2. Created unit tests to validate sevennet functionality
3. Ensured compatibility with existing MLP workflows
## Requirements
-[X] My PR is focused on a single feature addition [#2429 ].
-[X] My PR has relevant, comprehensive unit tests.
-[X] My PR is on a custom branch (feature/sevennetMLP).
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
What new feature would you like to see?
We should add the pre-trained SevenNet MLP to the supported MLP methods since it performs so well on https://matbench-discovery.materialsproject.org.
This would entail adding it as a supported calculator method in
quacc.recipes.mlp._base.pick_calculator
, updating themethod
type hints in thequacc.recipes.mlp
functions to include SevenNet, adding some tests to the test suite, and addingsevenn
topyproject.toml
.Also see https://github.com/orbital-materials/orb-models.
The text was updated successfully, but these errors were encountered: