Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment
Abstract
A new approach to design hierarchical materials using convolutional neural networks is proposed and validated through additive manufacturing and testing.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2018
- Source ID
- 10.1039/c8mh00653a
Entities
People
- Chun-Teh Chen
- Deon J. Richmond
- Grace X Gu
- Markus J. Buehler
Organizations
- Air Force Office of Scientific Research
- Massachusetts Institute of Technology
- Office of Naval Research
- United States Army
- University of Cambridge