This repository provides ready-to-use software for high-dimensional neural network potentials in computational physics and chemistry. Added by A.R. Allouche :
- NN for partial charges and dipoles
- High derivatives of energies (2, 3, 4)
- dftd3 grimme correction to energie
It is also possible to build your own documentation for offline reading.
Install the above dependencies, change to the src
directory and try to build
the documentation:
source env.sh
cd dftd3-lib-0.9
make
cd ..
cd src
make doc
If the build process succeeds you can browse through the documentation starting from the main page in:
doc/html/index.html
- Andreas Singraber (University of Vienna)
- Abdulrahman Allouche (Lyon 1 University)
This software is licensed under the GNU General Public License version 3 or any later version (GPL-3.0-or-later).