Welcome to GlassPy

GlassPy is a Python module for scientists working with glass materials.

What is it?

GlassPy focuses on providing an easy way to load SciGlass data and use GlassNet, VITRIFY, and ViscNet — predictive models of glass and glass-forming liquid properties. Documentation is available here (check the examples section for a quick overview).

How to install

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.

[!WARNING] Before installing GlassPy, make sure that you have pytorch installed (see the instructions here).

To install GlassPy with pip run

pip install glasspy

To install GlassPy with uv run

uv pip install glasspy

Development

GlassPy is under development. API changes are not only likely, but expected as development continues.

How to cite

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. https://doi.org/10.1016/j.ceramint.2023.08.281.

If VITRIFY was useful in your research, please cite the following paper:

Carvalho, D.P.L., Loponi, A.C.B., Cassar, D.R. (2026). Will it form a glass? Tackling glass formation using binary classification. Paper under peer review.

If ViscNet was useful in your research, please cite the following paper:

Cassar, D.R. (2021). ViscNet: Neural network for predicting the fragility index and the temperature-dependency of viscosity. Acta Materialia 206, 116602. https://doi.org/10.1016/j.actamat.2020.116602.

GlassPy license

GPL

GlassPy, Python module for scientists working with glass materials. Copyright (C) 2019-2026 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.