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fortnet-ase provides an interface between the neural network implementation Fortnet and the Atomic Simulation Environment (ASE). The calculator employs Fortnet as a prediction engine for the total energy of a system as well as the calculation of atomic forces, e.g. for geometry optimizations and molecular dynamics.

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Installation

Please note, that this package has been tested for Python 3.X support. Its usage additionally requires

as well as the pytest framework in order to run the regression tests.

Via the Python Package Index

First, make sure you have an up-to-date version of pip installed:

python -m pip install --upgrade pip

The package can be downloaded and installed via pip into the active Python interpreter (preferably using a virtual python environment) by

pip install fortnet-ase

or into the user space issueing:

pip install --user fortnet-ase

Locally from Source

Alternatively, you can install it locally from source, i.e. from the root folder of the project:

python -m pip install .

Documentation

Documentation Status

Consult following resources for documentation:

Contributing

New features, bug fixes, documentation, tutorial examples and code testing is welcome during the ongoing fortnet-ase development!

The project is hosted on github. Please check CONTRIBUTING.rst for guide lines.

I am looking forward to your pull request!

License

fortnet-ase is released under the BSD 2-clause license. See the included LICENSE file for the detailed licensing conditions.

Metadata

Release files for fortnet-ase 0.2.1

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Source distribution for fortnet-ase 0.2.1
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Built distribution (wheel)

Table of built distributions (wheels) for fortnet-ase 0.2.1
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fortnet_ase-0.2.1-py3-none-any.whl Python 3 none any Details for fortnet_ase-0.2.1-py3-none-any.whl

Total release size: 16.8 kB

Release files / fortnet-ase-0.2.1.tar.gz

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Security for fortnet-ase 0.2.1

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