.. Amp documentation master file, created by
   sphinx-quickstart on Thu Jul 30 17:27:50 2015.
   You can adapt this file completely to your liking, but it should at least
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Amp: Atomistic Machine-learning Potentials
==========================================

Welcome to Amp documentation! This project is being developed at Brown University in the School of Engineering, primarily by **Andrew Peterson** and **Alireza Khorshidi**,
and is released under the GNU General Public License. This is a relatively new project, so things are constantly changing!

(Note that Amp is built off of our previous project, Neural. You may still find Neural at our `bitbucket page <https://bitbucket.org/andrewpeterson/neural>`_.)

**Table of Contents**:

.. toctree::
   :maxdepth: 2

   introduction.rst
   installation.rst
   useamp.rst
   theory.rst
   parallelcomputing.rst
   develop.rst

**List of All Methods**:

.. toctree::
   :maxdepth: 1

   modules/main.rst
   modules/descriptor.rst
   modules/regression.rst
   modules/utilities.rst
   modules/analysis.rst


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

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