To switch or not to switch – a machine learning approach for ferroelectricity
Abstract
The introduced two-dimensional representation of two-parameter signal dependence allows for clear interpretation and classification of the measured signal upon using machine learning methods.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2020
- Source ID
- 10.1039/c9na00731h
Entities
People
- Andrei L. Kholkin
- Gabriel Velarde
- Ivan Kravchenko
- Lane W Martin
- Nina Balke
- Peter Maksymovych
- Sabine M Neumayer
- Stephen Jesse
Organizations
- Army Research Office
- Aveiro Institute of Materials
- Center for Nanophase Materials Sciences
- Fundação para a Ciência e Tecnologia
- National Science Foundation
- Oak Ridge National Laboratory
- United States Army
- United States Department of Energy
- University of Aveiro
- University of California
- University of California, Berkeley