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Releases: materialsvirtuallab/matgl

v1.1.3

07 Aug 12:24
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What's Changed

  • Matgl depends on torch==2.2.1 by @Badasper in #273
  • FrechetCellFilter is added for variable cell relaxation in Relaxer class by @kenko911 in #275
  • Improve the TensorNet model class coverage by @kenko911 in #276
  • Improve SO3Net model class coverage and simplify TensorNet implementation by @kenko911 in #277
  • Improve the coverage in MLP_norm class by @kenko911 in #278
  • Better Documentation for M3GNet potential training with stresses by @kenko911 in #281
  • Improve the implementation of three-body interactions in M3GNet by @kenko911 in #282
  • Optimize the speed of _compute_3body implementation by @kenko911 in #283
  • Type checking for scheduler is added by @kenko911 in #284
  • Update M3GNet potential training notebook for the demonstrating of obtaining and using element offset by @kenko911 in #288
  • Smooth l1 loss function is added and the united tests are improved. by @kenko911 in #289
  • Merge the predict_structure and featurize_structure into a single method by @kenko911 in #290
  • Remove unnecessary else statement for calculating magmom loss by @kenko911 in #294
  • Bump rexml from 3.2.8 to 3.3.2 in /docs by @dependabot in #297
  • Bump rexml from 3.3.2 to 3.3.3 in /docs by @dependabot in #298

New Contributors

Full Changelog: v1.1.2...v1.1.3

v1.1.2

07 Jun 15:17
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  • Move AtomRef Fitting to numpy to avoid bug (@BowenD-UCB)
  • NVE ensemble added (@kenko911)
  • Migrate from pytorch_lightning to lightning.

v1.1.1

09 May 14:06
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  • Pin dependencies to support latest DGL 2.x. @kenko911

v1.1.0

07 May 21:35
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  • Implementation of CHGnet + pre-trained models. (@BowenD-UCB)

v1.0.0

14 Feb 15:09
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  • First 1.0.0 release to reflect the maturity of the matgl code! All changes below are the efforts of @kenko911.
  • Equivariant TensorNet and SO3Net are now implemented in MatGL.
  • Refactoring of M3GNetCalculator and M3GNetDataset into generic PESCalculator and MGLDataset for use with all models
    instead of just M3GNet.
  • Training framework has been unified for all models.
  • ZBL repulsive potentials has been implemented.

v0.9.2

26 Jan 20:42
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  • Added Tensor Placement Calls For Ease of Training with PyTorch Lightning (@melo-gonzo).
  • Allow extraction of intermediate outputs in "embedding", "gc_1", "gc_2", "gc_3", and "readout" layers for use as
    atom, bond, and structure features. (@JiQi535)

v0.9.1

17 Nov 20:11
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  • Update Potential version numbers.

v0.9.0

17 Nov 16:46
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  • set pbc_offsift and pos as float64 by @lbluque in #153
  • Bump pytorch-lightning from 2.0.7 to 2.0.8 by @dependabot in #155
  • add cpu() to avoid crash when using ase with GPU by @kenko911 in #156
  • Added the united test for hessian in test_ase.py to improve the coverage score by @kenko911 in #157
  • AtomRef Updates by @lbluque in #158
  • Bump pymatgen from 2023.8.10 to 2023.9.2 by @dependabot in #160
  • Remove torch.unique for finding the maximum three body index and little cleanup in united tests by @kenko911 in #161
  • Bump pymatgen from 2023.9.2 to 2023.9.10 by @dependabot in #162
  • Add united test for trainer.test and description in the example by @kenko911 in #165
  • Bump pytorch-lightning from 2.0.8 to 2.0.9 by @dependabot in #167
  • Sequence instead of list for inputs by @lbluque in #169
  • Avoiding crashes for PES training without stresses and update pretrained models by @kenko911 in #168
  • Bump pymatgen from 2023.9.10 to 2023.9.25 by @dependabot in #173
  • Allow to choose distribution in xavier_init by @lbluque in #174
  • An example for the simple training of M3GNet formation energy model is added by @kenko911 in #176
  • Directed line graph by @lbluque in #178
  • Bump pymatgen from 2023.9.25 to 2023.10.4 by @dependabot in #180
  • Bump torch from 2.0.1 to 2.1.0 by @dependabot in #181
  • Bump pymatgen from 2023.10.4 to 2023.10.11 by @dependabot in #183
  • add testing to m3gnet potential training example by @lbluque in #179
  • Update Training a MEGNet Formation Energy Model with PyTorch Lightnin… by @1152041831 in #185
  • Bump pymatgen from 2023.10.11 to 2023.11.12 by @dependabot in #187
  • dEdLat contribution for stress calculations is added and Universal Potentials are updated by @kenko911 in #189
  • Bump torch from 2.1.0 to 2.1.1 by @dependabot in #190

v0.8.5

29 Aug 17:29
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v0.8.4

29 Aug 17:28
170cc25
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