Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device
Abstract
Enhancing the analytical capabilities of a hand-held LIBS device for chemical composition analysis of a plutonium surrogate using different machine learning paradigms.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2021
- Source ID
- 10.1039/d0ja00435a
Entities
People
- Ashwin P. Rao
- J D Auxier
- Michael B Shattan
- Phillip R. Jenkins
Organizations
- Air Force Institute of Technology
- Air Force Office of Scientific Research
- Defense Threat Reduction Agency
- Los Alamos National Laboratory
- United States Army