Deep learning for automated classification and characterization of amorphous materials
Abstract
We use deep learning to automatically classify liquid and glass structures and to derive novel metrics that describe glass formation.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2020
- Source ID
- 10.1039/c9sm01903k
Entities
People
- Joshua Lequieu
- Kirk Swanson
- Kyle Swanson
- Risi Kondor
- Shubhendu Trivedi
Organizations
- Defense Advanced Research Projects Agency
- Department of Computer Science, University of Oxford
- Institute for Computational and Experimental Research in Mathematics
- MIT Computer Science and Artificial Intelligence Laboratory
- Massachusetts Institute of Technology
- Materials Research Laboratory
- National Science Foundation
- Pritzker School of Molecular Engineering
- Statistics New Zealand
- United States Army
- University of Cambridge
- University of Chicago