Machine learning and materials informatics approaches for evaluating the interfacial properties of fiber-reinforced composites

Title
Machine learning and materials informatics approaches for evaluating the interfacial properties of fiber-reinforced composites
Authors
Keywords
Machine learning, Fiber-reinforced composites, Interfacial shear strength, Maximum force, Predictive modeling
Journal
COMPOSITE STRUCTURES
Volume 273, Issue -, Pages 114328
Publisher
Elsevier BV
Online
2021-07-02
DOI
10.1016/j.compstruct.2021.114328

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now