Predicting the failure of two-dimensional silica glasses
oleh: Francesc Font-Clos, Marco Zanchi, Stefan Hiemer, Silvia Bonfanti, Roberto Guerra, Michael Zaiser, Stefano Zapperi
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-05-01 |
Deskripsi
The sheer number of parameters in deep learning makes the physical interpretation of failure predictions in glasses challenging. Here the authors use Grad-CAM to reveal the role of topological defects and local potential energies in failure predictions.