RAPID OPTIMIZATION OF NON-EQUILIBRIUM PLASMAS USING NEW BREAKTHROUGHS IN DATA SCIENCE
Abstract
Proposal offers new methods to characterize non-linear reactions in multi-species plasma by combining reduced-fidelity plasma model with sparse optimization and data discovery techniques, as an example, will optimize performance of molecular-propellant electron cyclotron resonance thruster using machine learning and compare results with traditional optimization methods; and will determine the type and location of diagnostic measurements that best reflect thruster performance and stability.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010167
Entities
People
- Justin M. Little
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Washington