Changelog

v0.4.2

Thank you to everyone who contributed to this release! This release includes important bug fixes and new features. @thomasloux, @orionarcher, @WillEngler, @RishikeshMagar, @nh-univie, @andrewrm98, @danielzuegner, and others made valuable contributions. 🚀

🎉 New Features

  • Add CSVR / V-Rescale thermostat and anisotropic C rescale barostat by @thomasloux in #326

  • Support for electrostatics by @orionarcher in #373

  • Add support for AMD GPUs (consumer/datacenter) by @amacbride in #347

🐛 Bug Fixes

  • Fix: add init_kwargs to ts.integrate by @danielzuegner in #360

  • Fix PBC extraction to CPU fairchem model by @nh-univie in #368

  • Handle tensor PBC input in FairChemV1Model by @WillEngler in #372

  • Fix Comments Issue#309 by @RishikeshMagar in #378

  • Fix fairchem-legacy tests by removing explicit Hugging Face login by @WillEngler in #369

🛠 Enhancements

  • Consolidate model and model_name args in FairchemModel by @orionarcher in #377

New Contributors

  • @amacbride made their first contribution in #347

  • @danielzuegner made their first contribution in #360

  • @RishikeshMagar made their first contribution in #378

v0.4.1

Thank you to everyone who contributed to this release! This release includes important bug fixes, new features, and API improvements. @thomasloux, @curtischong, @CompRhys, @orionarcher, @WillEngler, @samanvya10, @hn-yu, @wendymak8, @chuin-wei, @pragnya17, and many others made valuable contributions. 🚀

💥 Breaking Changes

  • Standardize argument order to (state, model) by @pragnya17 in #341

  • Deprecate pbc_wrap_general by @curtischong in #305

🎉 New Features

  • Mixed PBC Support by @curtischong in #320

  • Feature: Batched NVT Nose-Hoover by @thomasloux in #265

  • Add degrees of freedom (dof) in state and temperature computation by @thomasloux in #328

  • Add sources npt langevin by @thomasloux in #298

🐛 Bug Fixes

  • MACE: transfer atomic numbers to CPU before converting to numpy by @t-reents in #289

  • Fixed max atoms memory estimation by @nh-univie in #279

  • Fixing model loading logic (names and cache dir) for fairchem models by @nh-univie in #278

  • Fix fairchem and neighbors tests by @WillEngler in #317

  • Fix #293: State to device side effects by @samanvya10 in #297

  • Fix graph-pes key issue by @jla-gardner in #303

  • Fix calculate static state after relax by @curtischong in #338

  • Misc fixes by @orionarcher in #336

  • Fix cell to cellpar by @thomasloux in #342

  • Fix failing Docs build by @CompRhys in #296

  • Fix: correct speedup plot image path in README by @Joaqland in #333

🛠 Enhancements

  • Put SimState Init logic into post_init (and enforce kw_args=true for SimState children) by @curtischong in #335

  • Replace vars(state) with state.attributes by @orionarcher in #329

  • Rename and reorder some variables by @orionarcher in #316

  • Add SevenNet path, str types for model arg by @YutackPark in #322

  • Add version attribute by @thomasloux in #311

  • Convert cell_to_cellpar from ase’s numpy implementation to pytorch by @wendymak8 in #306

  • Autobatch OOM handling by @chuin-wei in #337

  • Allow Mace to be loaded from a model path by @orionarcher in #349

  • NPTLangevinState inherits from MDState by @hn-yu in #299

📖 Documentation

  • Add integrators in docs by @thomasloux in #290

🏷️ Type Hints

  • Create py.typed by @arosen93 in #287

🧹 House-Keeping

  • Remove unused imports orb and updates class type check by @thomasloux in #292

  • Skip FairChem tests on forks due to HF secret by @CompRhys in #295

📦 Dependencies

  • Loosen numpy dependency by @chuin-wei in #321

New Contributors

  • @arosen93 made their first contribution in #287

  • @nh-univie made their first contribution in #278

  • @samanvya10 made their first contribution in #297

  • @wendymak8 made their first contribution in #306

  • @pragnya17 made their first contribution in #341

  • @chuin-wei made their first contribution in #321

  • @hn-yu made their first contribution in #299

  • @Joaqland made their first contribution in #333

v0.4.0

Thank you to everyone who contributed to this release! This release includes significant API improvements and breaking changes. @janosh led a major API redesign to improve usability. @stefanbringuier added heat flux calculations. @curtischong continued improving type safety across the codebase. @CompRhys, @orionarcher, @WillEngler, and @thomasloux all made valuable contributions. 🚀

What’s Changed

💥 Breaking Changes

  • Fairchem v2 support by @janosh, @CompRhys, @abhijeetgangan, @orionarcher in #211

  • Big breaking API redesign by @janosh in #264

  • Rename Flavors to more descriptive names by @orionarcher in #282

🎉 New Features

  • Enhancement: Heat Flux Function by @stefanbringuier in #127

🐛 Bug Fixes

  • Fix: orb squeeze provides incorrect shape for energy tensor by @thomasloux in #257

  • Fix docs build by @WillEngler in #271

🛠 Enhancements

  • Fairchem legacy support by @CompRhys in #270

📖 Documentation

  • Update citation in README.md by @orionarcher in #240

  • Add GOVERNANCE.md and remove Contributor’s Certification checkbox and language by @WillEngler in #272

  • Remove Contributor License Agreement (CLA) in favor of certification in contributing.md by @WillEngler in #267

  • Small update to README and CHANGELOG by @orionarcher in #283

🏷️ Type Hints

  • mypy type math.py and test_math.py by @curtischong in #242

  • Type test_io, neighbors, and transforms by @curtischong in #243

  • Type trajectory by @curtischong in #244

🧹 House-Keeping

  • MAINT: update pins in MACE phonons example. Remove misleading ty from PR template by @CompRhys in #239

New Contributors

  • @thomasloux made their first contribution in #257

  • @WillEngler made their first contribution in #267

Full Changelog: https://github.com/TorchSim/torch-sim/compare/v0.3.0…v0.4.0

v0.3.0

Thank you to everyone who contributed to this release! @t-reents, @curtischong, and @CompRhys did great work squashing an issue with SimState concatenation. @curtischong continued his crusade to type and improve the TorchSim API. @orionarcher, @kianpu34593, and @janosh all made contributions that continue to improve package quality and usability. 🚀

What’s Changed

🛠 Enhancements

  • Define attribute scopes in SimStates by @curtischong, @CompRhys, @orionarcher in #228

  • Improve typing of ModelInterface by @curtischong, @CompRhys in #215

  • Make system_idx non-optional in SimState by @curtischong in #231

  • Add new states when the max_memory_scaler is updated by @kianpu34593 in #222

  • Rename batch to system by @curtischong in #217, #233

🐛 Bug Fixes

  • Initial fix for concatenation of states in InFlightAutoBatcher by @t-reents in #219

  • Finish fix for SimState concatenation by @t-reents and @curtischong in #232

  • Fix broken code block in low-level tutorial by @CompRhys in #226

  • Update metatomic checkpoint to fix tests by @curtischong in #223

  • Fix memory scaling in determine_max_batch_size by @t-reents, @janosh in #212

📖 Documentation

  • Update README plot with more models by @orionarcher in #236, #237

  • Update citation.cff by @CompRhys in #225

Full Changelog: https://github.com/TorchSim/torch-sim/compare/v0.2.2…v0.3.0

v0.2.2

What’s Changed

💥 Breaking Changes

  • Remove higher level model imports by @CompRhys in https://github.com/TorchSim/torch-sim/pull/179

🛠 Enhancements

  • Add per atom energies and stresses for batched LJ by @abhijeetgangan in https://github.com/TorchSim/torch-sim/pull/144

  • throw error if autobatcher type is wrong by @orionarcher in https://github.com/TorchSim/torch-sim/pull/167

🐛 Bug Fixes

  • Mattersim fix tensors on wrong device (CPU->GPU) by @orionarcher in https://github.com/TorchSim/torch-sim/pull/154

  • fix npt_langevin by @jla-gardner in https://github.com/TorchSim/torch-sim/pull/153

  • Make sure to move data to CPU before calling vesin by @Luthaf in https://github.com/TorchSim/torch-sim/pull/156

  • Fix virial calculations in optimizers and integrators by @janosh in https://github.com/TorchSim/torch-sim/pull/163

  • Pad memory estimation by @orionarcher in https://github.com/TorchSim/torch-sim/pull/160

  • Refactor sevennet model by @YutackPark in https://github.com/TorchSim/torch-sim/pull/172

  • io optional dependencies in pyproject.toml by @curtischong in https://github.com/TorchSim/torch-sim/pull/185

  • Fix column->row cell vector mismatch in integrators by @CompRhys in https://github.com/TorchSim/torch-sim/pull/175

📖 Documentation

  • (tiny) add graph-pes to README by @jla-gardner in https://github.com/TorchSim/torch-sim/pull/149

  • Better module fig by @janosh in https://github.com/TorchSim/torch-sim/pull/168

🚀 Performance

  • More efficient Orb state_to_atoms_graph calculation by @AdeeshKolluru in https://github.com/TorchSim/torch-sim/pull/165

🚧 CI

  • Refactor test_math.py and test_transforms.py by @janosh in https://github.com/TorchSim/torch-sim/pull/151

🏥 Package Health

  • Try out hatchling for build vs setuptools by @CompRhys in https://github.com/TorchSim/torch-sim/pull/177

📦 Dependencies

  • Bump mace-torch to v0.3.12 by @janosh in https://github.com/TorchSim/torch-sim/pull/170

  • Update metatrain dependency by @Luthaf in https://github.com/TorchSim/torch-sim/pull/186

🏷️ Type Hints

  • Add torch_sim/typing.py by @janosh in https://github.com/TorchSim/torch-sim/pull/157

New Contributors

  • @Luthaf made their first contribution in https://github.com/TorchSim/torch-sim/pull/156

  • @YutackPark made their first contribution in https://github.com/TorchSim/torch-sim/pull/172

  • @curtischong made their first contribution in https://github.com/TorchSim/torch-sim/pull/185

Full Changelog: https://github.com/TorchSim/torch-sim/compare/v0.2.0…v0.2.1

v0.2.1

What’s Changed

💥 Breaking Changes

  • Remove higher level model imports by @CompRhys in #179

🛠 Enhancements

  • Add per atom energies and stresses for batched LJ by @abhijeetgangan in #144

  • throw error if autobatcher type is wrong by @orionarcher in #167

🐛 Bug Fixes

  • Fix column->row cell vector mismatch in integrators by @CompRhys in #175

  • Mattersim fix tensors on wrong device (CPU->GPU) by @orionarcher in #154

  • fix npt_langevin by @jla-gardner in #153

  • Make sure to move data to CPU before calling vesin by @Luthaf in #156

  • Fix virial calculations in optimizers and integrators by @janosh in #163

  • Pad memory estimation by @orionarcher in #160

  • Refactor sevennet model by @YutackPark in #172

  • io optional dependencies in pyproject.toml by @curtischong in #185

📖 Documentation

  • (tiny) add graph-pes to README by @jla-gardner in #149

  • Better module fig by @janosh in #168

🚀 Performance

  • More efficient Orb state_to_atoms_graph calculation by @AdeeshKolluru in #165

🚧 CI

  • Refactor test_math.py and test_transforms.py by @janosh in #151

🏥 Package Health

  • Try out hatchling for build vs setuptools by @CompRhys in #177

🏷️ Type Hints

  • Add torch-sim/typing.py by @janosh in #157

📦 Dependencies

  • Bump mace-torch to v0.3.12 by @janosh in #170

  • Update metatrain dependency by @Luthaf in #186

New Contributors

  • @Luthaf made their first contribution in #156

  • @YutackPark made their first contribution in #172

  • @curtischong made their first contribution in #185

Full Changelog: https://github.com/torchsim/torch-sim/compare/v0.2.0…v0.2.1

v0.2.0

Bug Fixes 🐛

  • Fix integrate reporting kwarg to arg error, #113 (raised by @hn-yu)

  • Allow runners to take large initial batches, #128 (raised by @YutackPark)

  • Add Fairchem model support for PBC, #111 (raised by @ryanliu30)

Enhancements 🛠

  • breaking Rename HotSwappingAutobatcher to InFlightAutobatcher and ChunkingAutoBatcher to BinningAutoBatcher, #143 @orionarcher

  • Support for Orbv3, #140, @AdeeshKolluru

  • Support metatensor models, #141, @frostedoyter @Luthaf

  • Support for graph-pes models, #118 @jla-gardner

  • Support MatterSim and fix ASE cell convention issues, #112 @CompRhys

  • Implement positions only FIRE optimization, #139 @abhijeetgangan

  • Allow different temperatures in batches, #123 @orionarcher

  • FairChem model updates: PBC handling, test on OMat24 e-trained model, #126 @AdeeshKolluru

  • FairChem model from_data_list support, #138 @ryanliu30

  • New correlation function module, #115 @stefanbringuier

Documentation 📖

  • Improved model documentation, #121 @orionarcher

  • Plot of TorchSim module graph in docs, #132 @janosh

House-Keeping 🧹

  • Only install HF for fairchem tests, #134 @CompRhys

  • Don’t download MBD in CI, #135 @orionarcher

  • Tighten graph-pes test bounds, #143 @orionarcher

v0.1.0

Initial release.