Code for the paper 'Predicting the failure of two-dimensional silica glasses'

The present folder contains example codes that we have used for the study of mechanical properties of silica 2D with machine learning techniques:

• The folder 'silica-dataset-generation' contains the code for generating our dataset which comprehend silica atomic configurations and images
• The folder 'Silica-SVM' contains the code for SVM application to silica configurations
• The folder 'Silica-CNN' contains the code to train the convolutional neural networks for the predictions of silica mechanical properties
• The folder 'Silica-Grad-CAM_Silica' contains some examples of the application of the Grad-CAM technique

Each folder contains a README file which states the system requirements and the instructions for installing and running the code.

Fore more details read:

Font-Clos F, Zanchi M, Hiemer S, Bonfanti S, Guerra R, Zaiser M, Zapperi S. Predicting the failure of two-dimensional silica glasses. arXiv preprint arXiv:2201.09723. 2022 Jan 24. https://arxiv.org/abs/2201.09723

Datasets related to this code: https://zenodo.org/deposit/6335037