Award Data

Research is proposed for the development and implementation of state of the art, reduced order nonlinear aeroelastic models for multidisciplinary/multi-fidelity optimization problems. Highly efficient and accurate aeroelastic simulation tools will be constructed based upon the mathematical formalism of optimal prediction theory and a novel implementation of a filtered harmonic balance solution met ...

The technology, theory and fabrication of artificial materials and metamaterials have seen impressive progress in the last few years, and various applied fields have benefited of the great flexibility of electromagnetic response that metamaterials may provide at microwaves, infrared (IR) and/or optical frequencies. Negative-refractive and zero-permittivity metamaterials have indeed been proposed f ...

This program is to develop multi-layered,light weight armor alloys systems that offer improved fragmentation and armor piercing performance as compared to any other monolithic structures. Such alloys and laminated configuration will be developed by utilizing advanced computational techniques to assist in the development of complimentary alloys that would provide an optimal combination of hardness ...

In this STTR program, CFDRC, in collaboration with the University of Idaho, proposes to develop some novel high-performance polynitrogen energetic materials for propellant applications. The proposed materials contain amine substituted tetrazole-based heterocyclic cations. In order to enhance the energy content and stability further, they are combined with energetic anions. These anions will have ...

While DNS of complex flow phenomena is a routine practice nowadays, the analysis tools lack the sophistication to utilize the abundance of data generated, for they are devoid of physics-based data extraction and feature-detection protocols. The current effort proposes an automated and intelligent co-processing data-mining framework, in the form of an API, that detects and tracks flow features of s ...

The design of future hypersonic vehicles requires detailed understanding of flow regimes ranging from rarefied to continuum. Moreover, hypervelocity flows are characterized by high temperatures, excitation of vibrational level of molecules, nonequilibrium dissociation, and ionization. The goal of this project is to develop unified kinetic/continuum solution methods with proper domain decompositio ...

Gradient Technology in conjunction with Professor M. Hillmyer of the Department of Chemistry at the University of Minnesota proposed to develop advanced technology to recover and convert the explosive and urethane binder found in plastic bonded explosives. This technology provides a unique reclamation, recovery, and reuse opportunity for dramatically reducing the disposal cost of technology munit ...

Polaris Sensor Technologies is proposing to use quantum dot technology that has been  recently developed which has the ability to tune the spectral response of a sensor in real-time.   In the Phase I we will study the feasibility of integrating such a focal plane to either fixed or adaptive polarization capability.  The adaptive polarization capability would be based on dynamically controllabl ...

Electro-Optical Seekers that utilize a novel GNC Particle Flow processes may better address maneuvering targets and improve track and discrimination functions over traditional solutions. Particle flow processes track objects by estimating the global motion as a function of time. Traditional tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional repre ...

Technical Abstract Current economic conditions and an aging population are increasing the strain on the Medicaid program, which is the main funding source for long-term skilled nursing care. In 2008, Medicaid spending for long-term care was $99.9 billion and growing at a rate of 8.6% annually. Given that the population of persons over 65 years of age is expected to grow from 35 million in the ye ...