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   sphinx-quickstart on Wed Oct  6 18:39:56 2021.
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################
:program:`MLACS`
################
Machine-Learning Assisted Canonical Sampling
********************************************

:program:`MLACS` is a tool to sample a canonical distribution of an atomic system with high accuracy and low computational cost.
The method is based on a variationnally constructed Machine-Learning Interatomic Potential (MLIP) which is optimized in order to
provide the best approximation of the real distribution.
The method has been implemented in the form of a python library, linked with the Large-scale Atomic/Molecular Massively Parallel Simulation
code.

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   background
   installation
   contributing
   tutorials/index

.. toctree::
   :maxdepth: 2
   :caption: Modules

   moduleref/index



Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`