Journal
MRS COMMUNICATIONS
Volume 9, Issue 2, Pages 556-566Publisher
SPRINGER HEIDELBERG
DOI: 10.1557/mrc.2019.32
Keywords
-
Categories
Ask authors/readers for more resources
Machine learning (ML) has been perceived as a promising tool for the design and discovery of novel materials for a broad range of applications. In this prospective paper, we summarize recent progress in the applications of ML to composite materials modeling and design. An overview of how different types of ML algorithms can be applied to accelerate composite research is presented. This framework is envisioned to revolutionize approaches to design and optimize composites for the next generation of materials with unprecedented properties.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available