v0.9.0

• 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