Releases: materialyzeai/matgl
Releases · materialyzeai/matgl
v2.0.6
v2.0.5
v2.0.4
v2.0.3
v2.0.2
- QET (Charge-Equilibrated TensorNet) architecture and pre-trained weights are added!
- Begun a migration to Pytorch-Geometric over the now-deprecated DGL. So far, only vanilla TensorNet has been
implemented in PYG). DGL models still work but require a manual setup (change of backend and installation of DGL).
v2.0.1
- QET (Charge-Equilibrated TensorNet) architecture and pre-trained weights are added!
- Begun a migration to Pytorch-Geometric over the now-deprecated DGL. So far, only vanilla TensorNet has been
implemented in PYG). DGL models still work but require a manual setup (change of backend and installation of DGL).
v2.0.0
- QET (Charge-Equilibrated TensorNet) architecture and pre-trained weights are added!
- Begun a migration to Pytorch-Geometric over the now-deprecated DGL. So far, only vanilla TensorNet has been
implemented in PYG). DGL models still work but require a manual setup (change of backend and installation of DGL).
v1.3.0
This release includes pretrained molecular potentials and implements the preliminary PyG framework for future development.
What's Changed
- publish wheel as well as sdist by @dimbleby in #597
- Example notebook for fine-tuning M3GNet potential on a customized dataset with DIRECT sampling by @kenko911 in #599
- pre-commit autoupdate by @pre-commit-ci[bot] in #602
- First stage for PyG TensorNet implementation done by @kenko911 in #604
- Update lightning requirement from <=2.5.1 to <=2.5.1.post0 by @dependabot[bot] in #606
- Add
element_typeskwarg to example notebook by @Andrew-S-Rosen in #611 - Update lightning requirement from <=2.5.1.post0 to <=2.6.0.dev20250629 by @dependabot[bot] in #610
- Ruff fix in MGLDataset class by @kenko911 in #614
- Update lightning requirement from <=2.6.0.dev20250629 to <=2.6.0.dev20250706 by @dependabot[bot] in #615
- pre-commit autoupdate by @pre-commit-ci[bot] in #616
- TensorNet PyG added by @kenko911 in #617
- Update lightning requirement from <=2.6.0.dev20250706 to <=2.6.0.dev20250713 by @dependabot[bot] in #618
- Fix the bug in the united test for ase.py by @kenko911 in #621
- Update lightning requirement from <=2.6.0.dev20250713 to <=2.6.0.dev20250720 by @dependabot[bot] in #622
- Bump nokogiri from 1.18.8 to 1.18.9 in /docs by @dependabot[bot] in #623
- Update lightning requirement from <=2.6.0.dev20250720 to <=2.6.0.dev20250727 by @dependabot[bot] in #624
- pre-commit autoupdate by @pre-commit-ci[bot] in #627
- Update lightning requirement from <=2.6.0.dev20250727 to <=2.6.0.dev20250803 by @dependabot[bot] in #629
- Added a dropout argument to the M3GNET constructor by @miicck in #628
- Update lightning requirement from <=2.6.0.dev20250803 to <=2.6.0.dev20250810 by @dependabot[bot] in #631
- Pretrained molecular potentials from MatGL paper and additional thermostats for ASE MD added by @kenko911 in #633
New Contributors
Full Changelog: v1.2.7...v1.3.0
v1.2.7
- Use original custom RemoteFile rather than fsspec, which is very finicky with SSL connections.
- _create_directed_line_graph error handling (@bowen-bd)
- Update Import Alias for lightning (@jcwang587)
- Add nvt_nose_hoover to MD ensemble (@bowen-bd)
- Allow training of magmom when no line graph presents (@bowen-bd)
- Allow disable BondGraph in CHGNet (@bowen-bd)