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Releases: CompPhysVienna/n2p2

Version 2.2.0

23 May 12:53
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New features

  • Normalization procedure on-the-fly via nnp-train, keyword normalize_data_set.
  • New normalization scheme based on force predictions.
  • New keyword force_energy_ratio for nnp-train.
  • Additional neighbor statistics output from nnp-scaling.
  • New tool nnp-checkdw (for testing purposes).

Important changes

  • New CI via Github Actions.
  • Use self-compiled doxygen for API docs, use version 1.9.4.

Bugfixes

  • Fixed missing atomic energy offsets for LAMMPS interface.
  • Fixed NaNs from nnp-dist when running mixed data sets.
  • Fixed bugs in pynnp examples.

Version 2.1.4

11 May 21:56
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New features

Version 2.1.3

26 Apr 21:40
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Bugfixes

  • Fixed bug in nnp-scaling which could cause segfaults (MPI only).

Version 2.1.2

12 Apr 21:38
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New features

  • New tool to check numeric vs. analytic forces

Bugfixes

  • Fixed critical bug for large cutoff values (large compared to lattice vectors)

Version 2.1.1

15 Feb 11:47
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New features

  • Now compatible with latest LAMMPS stable release 29Oct2020
  • Improved EW warnings in LAMMPS
  • Citation header in screen output
  • Restructured training to prepare for multi-network HDNNPs (e.g. 4G-HDNNP)
  • New training "properties" can be added more easily now

Bugfixes

  • Fixed bugs in makefiles
  • Fixed bug when creating scaling data

Version 2.1.0

21 Dec 20:04
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New features

  • Polynomial symmetry functions (Martin P. Bircher and Andreas Singraber)
  • Better symmetry function cache mechanism

Important changes

  • Documentation updates (API docs in Sphinx via Breathe)

Version 2.0.3

30 Nov 11:00
f4a18fc
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New features

  • Tool nnp-scaling puts out rejected configurations into a separate file.

Version 2.0.2

24 Nov 23:00
bf4db65
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Bugfixes

  • Bugfix in CabanaMD interface: SF group initialization

Version 2.0.1

05 Oct 09:32
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Bugfixes

  • Fix bug in makefile which sometimes causes a failed build due to parallel execution

Version 2.0.0

05 Oct 08:58
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New features

  • Training library (Multi-stream Kalman filter training).
  • Tools for HDNNP data set handling, etc.
  • Python interface (basic functionality).
  • Sphinx documentation (+ Doxygen API reference).
  • CabanaMD interface (by Saaketh Desai and Sam Reeve)

Important changes

  • License change from MPL 2.0 to GPL v3 or later.