Applied and Computational Analysis
The Applied and Computational Analysis program develops and exploits methods in modern and classical mathematical analysis with emphasis on mathematical and computational models of physical phenomena. Naval interest in waves, flows, materials, structures, and information processing motivates research in the areas of:
- Multi-phase, multi-physics, multi-material problems
- Fluid transport and mixing
- Predictability of models for nonlinear dynamics
- Inverse problems arising from acoustic and electromagnetic wave propagation and scattering
Research Concentration Areas
- Multi-Scale/Multi-Physics Modeling: The goal is to develop novel analytical and computational tools to address problems whose description requires computing across many scales, both temporally and spatially. These problems may require multiple physics due to the complexity of the environment, for example, problems that involve taking into account hydrodynamics, salinity and thermodynamics, or multiple physics due to the presence of many scales, thus requiring combining atomistic and continuum modeling. Specific areas of interest to the Navy include analytically rigorous and computationally robust and efficient modeling of fatigue, fracture, dislocation, nucleation, shocks and contact lines.
- Dynamical Systems and Oceanic and Atmospheric Modeling: This aims to develop mathematical tools to understand the complex structure of the oceans and the atmosphere. It contains two sub-areas, one addressing the behavior of solutions of the governing partial differential equations of ocean and atmospheric dynamics. The second develops novel mathematical and computational tools for computing coherent structures for finite-time velocity fields that appear in oceans, especially those associated with coastal regions. Probabilistic and statistical tools, especially in the context of stochastic differential equations, are currently playing critical roles in this thrust.
- Inverse Methods: This area addresses the mathematical challenges facing the Navy in the area of inverse problems. Imaging targets in cluttered media, especially when the statistics of the medium are not known a priori, constitute an important area of application. Non-destructive evaluation in elastic-plastic media is another application area of emphasis. The mathematical challenges involve developing efficient and robust computational algorithms for the partial differential equations that arise in acoustics and electromagnetism.
Research Challenges and Opportunities
- Representation of multiple scales and multiple physics in reduced models of complex physical phenomena
- Development of analytical tools to study incomplete dynamical systems obtained from field measurements
- Development of fast computational tools to detect targets in cluttered media.
Type of Funding Available
Program Contact Information
Submit white papers, QUAD charts and full proposals for contracts to this email address: ONR Code 31 Research Submissions
Follow instructions within BAA for submission of grant proposals to grants.gov website.