Novel mathematical approaches and efficient computational methods for electromagnetic simulation, remote sensing, optimization and design
Abstract
This text proposes development of scalable, accelerated spectral solvers for Partial Differential Equations (PDE) in general domains}, as well as their application in simulation and design in a range of important areas of science and engineering, and study of associated theoretical problems in PDE theory and numerical analysis. In particular, we propose development of efficient numerical methods for (a) The computational solution of linear and nonlinear Partial Differential Equations in fields such as electromagnetism, fluid?dynamics and radiative transfer, as well as (b) Related approaches in inverse design, optimization and machine learning.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 07, 2023
- Source ID
- FA95502110373
Entities
People
- Oscar Bruno
Organizations
- Air Force Office of Scientific Research
- California Institute of Technology
- United States Air Force