The use of several open source scientific packages in the Schr\"odinger Materials Science Suite will be discussed. A typical workflow for materials discovery will be described, discussing how open source packages have been incorporated at every stage. Some recent implementations of machine learning for materials discovery will be discussed, as well as how open source packages were leveraged to achieve results faster and more efficiently.
@article{arxiv.2510.21756,
title = {Utilizing SciPy and other open source packages to provide a powerful API for materials manipulation in the Schr\"odinger Materials Suite},
author = {Alexandr Fonari and Farshad Fallah and Michael Rauch},
journal= {arXiv preprint arXiv:2510.21756},
year = {2025}
}