Award Data

Early detection of virulent infectious pathogens is critical to blocking the devastating epidemic spread of the pathogen and the potential harm this could have on our armed forces and general populations. In Phase I, we have utilized the state-of-the-art QuantiGene 2.0 technology to establish an assay for the sensitive quantification of SARS (epidemic spread in 2001) and assessing plasma DNA level ...

This Phase II effort will further develop a technique to improve current seeker discrimination and tracking capabilities using a unique particle filter algorithm (PFA) approach. The advancement represents a significant upgrade to current and future seekers facing advanced threats in stressing environments. Quantifiable improvements over many facets of the current approach have been realized during ...

Photonic links and networks offer numerous advantages to analog RF systems including inherent wide bandwidth, a reduced size, weight and improved flexibility, and nearly lossless signal. Current all-electronic delay line systems based on microwave components suffer from high signal loss and dispersion as well as large size and weight. An efficient way to achieve true-time-delay beamforming is to u ...

We propose to demonstrate and advance several key aspects of our novel, scalable ammonothermal technology for growth of high quality single crystal gallium nitride. Specifically, we propose to demonstrate a high growth rate and high crystalline quality, to design and analyze a pilot-scale reactor, and to construct and validate a quantitative model to describe the fluid dynamics of the growth envi ...

Nanoscale infrared detectors are emerging as a potentially powerful alternative to traditional infrared detector technologies. The University of New Mexico has developed dots in a double well (DDWELL) quantum dot infrared photodetectors which have a spectral responsivity that can be tuned by controlling the bias voltage applied. In this Phase II effort, Polaris Sensor and UNM would fabricate a g ...

We intend to use the emerging technology of compressed sensing and related new algorithms of information science to (1)increase our capacity for hyperspectral image acquisition beyond current capacity by developing new imaging and spectroscopic systems,(2) expand the frontiers from signal recovery to new applications, emphasizing knowledge learning including target and anamoly detection, and (3)st ...

The objective of this project is to develop a practical finite element-based simulation of spin-pit tests of disks. The performance of disks in spin-pit tests critically depends on localized effects, such as residual stresses, dislocations, and microstructure gradients. Therefore, a two-scale modeling approach is adopted. At the global-scale, the disk is represented by means of finite elements wit ...

We are proposing to develop a process for large area fabrication of metamaterial films with electromagnetic responses that can be manipulated in the infrared region to enable tailored reflectivity and emissivity. Because the approach is based on metamaterials, this technique can readily be scaled to higher or lower frequencies.

The design of future hypersonic vehicles requires detailed understanding of flow regimes ranging from rarefied to continuum. Hypervelocity flows are characterized by high temperatures, real gas effects, nonequilibrium chemistry, and ionization. The goal of this project is to develop unified kinetic/continuum solution methods with automatic domain decomposition for a wide range of Air Force applic ...

The theory of compressive sensing (CS) will be extended to the design of arrays for underwater systems. The underlying theory is applicable to arbitrary sensor arrays, but the focus will be placed on synthetic aperture sonar (SAS). The proposed research will integrate CS with the closely related and evolving field of matrix completion. Concerning the latter, it is assumed that a matrix of noisy da ...