Deep learning model to predict fracture mechanisms of graphene
Abstract Understanding fracture is critical to the design of resilient nanomaterials. Molecular dynamics offers a way to study fracture at an atomistic level, but is computationally expensive with limitations of scalability. In this work, we build upon machine-learning approaches for predicting nano...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-04-01
|
| Series: | npj 2D Materials and Applications |
| Online Access: | https://doi.org/10.1038/s41699-021-00228-x |