Theory-guided machine learning for damage characterization of composites

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Theory-guided machine learning for damage characterization of composites
Authors
Keywords
Damage characterization, Machine learning, Neural network, Progressive damage modeling, Failure
Journal
COMPOSITE STRUCTURES
Volume 246, Issue -, Pages 112407
Publisher
Elsevier BV
Online
2020-04-24
DOI
10.1016/j.compstruct.2020.112407

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.