v0.5.1

What's Changed

• Create py.typed by @Andrew-S-Rosen in #27
• feat(ci): add GitHub Actions job to publish the package by @himkt in #31
• misc: bump by @himkt in #32
• hotfix: add long_description and long_description_content_type by @himkt in #33

New Contributors

• @Andrew-S-Rosen made their first contribution in #27
• @himkt made their first contribution in #31

Full Changelog: v0.5.0...v0.5.1

v0.5.0

What's Changed

• Add rscan and r2scan parameters to DFTD3 XC parameters by @ShigeruIwase-PFN in #29
• Add b97-3c by @PythonFZ in #23
• Bump version to 0.5.0 by @ShigeruIwase-PFN in #30

New Contributors

• @ShigeruIwase-PFN made their first contribution in #29
• @PythonFZ made their first contribution in #23

Full Changelog: v0.4.0...v0.5.0

v0.4.0 release

This is the release note of v0.4.0.

Highlights

• Proper ONNX export, and optimizing peak memory usage and execution speed on some ONNX inference engine
  • Split c6 computation to reduce peak memory usage #17
  • Fix tracing batch size #18
  • Reduce Gather op when ONNX-exported #20

Others

• Update CI #19

v0.3.0 release

This is the release note of v0.3.0.

Highlights

• use shift for gradient calculation instead of cell #13 (Thank you @So-Takamoto )
  • It includes 1. speed up of stress calculation for batch atoms, and 2. bug fix for stress calculation when cell is skewed.

v0.2.0 release

This is the release note of v0.2.0.

Highlights

• Add PFP citation in README.md #2
• Use pymatgen for pbc neighbor search speed up #3

Bug fixes

• Fixed a bug for inputs with 0 adjacencies. #6 (Thank you @AkihideHayashi )
• Remove RuntimeError on no-cupy environment #8 (Thank you @So-Takamoto )
• Bugfix: batch calculation with abc=True #9 (Thank you @So-Takamoto )

Others

• move pysen to develop dependency #10 (Thank you @So-Takamoto )

v0.1.0 release

First public release of torch-dftd!