A transferable machine-learning framework linking interstice distribution and plastic heterogeneity in metallic glasses

Title
A transferable machine-learning framework linking interstice distribution and plastic heterogeneity in metallic glasses
Authors
Keywords
-
Journal
Nature Communications
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-12-13
DOI
10.1038/s41467-019-13511-9

Ask authors/readers for more resources

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now