Award Data

Military applications for CBRNE/GWTO and C4ISR require R&D for materials to protect personnel and equipment. However, challenges remain in experimental synthesis and characterization of new materials, such as providing insight into observed properties for further advancement. Thus, it is essential to develop a predictive modeling and simulation approach that will not only provide a fundamental u ...

Covariance realism and consistency are critical to precision tracking and long-term orbit prediction of resident space objects (RSOs). This proposal tackles the key challenges that would yield realistic state estimation error covariance measures for tracking RSOs with relevant covariance consistency metrics. The anticipated result is a proposed estimation architecture that provides state estimatio ...

The airborne network suffers from the limitations of highly constrained network capacity due to wireless link communication and intermittent connectivity among platforms. Information coding theory is a very new technology that is initially proposed for computer networks in 2001 and for ad hoc networks in 2006. The recent study shows it is able to increase the network capacity for mobile network to ...

This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...

Accurate and timely surveillance of objects in the near-Earth space environment is becoming increasingly critical to US national security. One of the main difficulties in this domain is efficiently and accurately modeling trajectories of the vast number of objects in orbit around the Earth. The orbital trajectory of a single object is typically modeled as a second-order system of equations which ...

We propose to develop a commercial weakly ionized plasma modeling capability based off of Tech-X’s high energy density plasma fluid code TxFluids. The new additions will be able to be used to model hypersonic vehicle physics including shock waves, plasma chemistry and innovative techniques for blackout mitigation and hypersonic vehicle control through the application of electric and/or magnetic ...

To streamline data processing in, e.g., hyperspectral imaging, new massively parallel data processing circuits are needed. The team of MicroXact Inc. and UC Santa Barbara propose to develop circuits based on completely novel computing paradigm, which could be extremely efficient (i.e. dense, relatively inexpensive, and consume very little power) for massively parallel signal processing. We offer t ...

Photovoltaics, while promising clean and reliable energy source, is not yet compatible with fossil energy for most applications. Organic-based solar cells have potential to reduce the cost of solar energy due to low-cost active materials, high-throughput reel-to-reel deposition technologies, low-temperature processing and application versatility. Currently organic photovoltaics (OPV) cannot commer ...

This Phase I STTR proposal will demonstrate nanostructured “metal-black” coatings to enhance absorption by thin film solar cells. The problem is that silicon has low absorption due to its indirect gap. The opportunity is that nano-scale metallic scattering centers increase the effective optical path length and enhance the solar electric-field strength in thin-film solar cells, leading to more ...

Currently, computation of the geopotential acceleration and its partial derivatives consumes a large portion of numerical integration time in special perturbations (SP) applications. The standard geopotential formulation is expressed as a spherical harmonic expansion in geocentric latitude, geocentric longitude, and radial distance. Recent research by Dr. Beylkin of the University of Colorado ha ...