GlassPy is a Python module for scientists working with glass materials.
GlassPy's current focus is on providing an easy way to load SciGlass data and use GlassNet and ViscNet, two deep learning predictive models of glass and glass-forming liquid properties. Click here for the documentation.
The source code is available on GitHub at https://github.com/drcassar/glasspy.
Binary installers for the latest released version are available from the Python Package Index.
Before installing GlassPy, make sure that you have pytorch installed (see the instructions here).
To install GlassPy with pip run
pip install glasspyGlassPy is under development. API changes are not only likely, but expected as development continues.
If GlassPy or GlassNet was useful in your research, please cite the following paper:
Cassar, D.R. (2023). GlassNet: A multitask deep neural network for predicting many glass properties. Ceramics International 49, 36013–36024. 10.1016/j.ceramint.2023.08.281.
GlassPy, Python module for scientists working with glass materials. Copyright (C) 2019-2024 Daniel Roberto Cassar
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.