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github.com/CompPhysVienna/n2p2 @v2.3.0

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repository ↗ · DeepWiki ↗ · release v2.3.0 ↗ · + Follow
1,325 symbols 3,330 edges 197 files 67 documented · 5% updated 16mo agov2.3.0 · 2024-11-22★ 24667 open issues

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README

n2p2 - A neural network potential package

DOI GitHub release Build Status Coverage License: GPL v3

This repository provides ready-to-use software for high-dimensional neural network potentials in computational physics and chemistry.

Documentation

This package uses automatic documentation generation via Sphinx, Breathe and doxygen. An online version of the documentation which is automatically updated with the master branch of the repository can be found here.

Authors

See AUTHORS.rst for a list of contributions.

License

This software is licensed under the GNU General Public License version 3 or any later version (GPL-3.0-or-later).

Core symbols most depended-on inside this repo

Shape

Method 984
Class 247
Function 78
Enum 16

Languages

C++77%
Python23%

Modules by API surface

test/python/test_Vec3D.py85 symbols
test/python/test_Atom.py64 symbols
test/python/test_Neighbor.py55 symbols
src/libnnptrain/Training.cpp49 symbols
src/libnnp/Mode.cpp44 symbols
test/python/test_ElementMap.py28 symbols
src/libnnp/NeuralNetwork.cpp27 symbols
test/python/test_CutoffFunction.py26 symbols
src/libnnp/SymFnc.h25 symbols
src/libnnp/Structure.cpp24 symbols
test/python/test_Settings.py23 symbols
src/libnnp/CoreFunction.h23 symbols

For agents

$ claude mcp add n2p2 \
  -- python -m otcore.mcp_server <graph>

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