Award Data

Mathematical models of physical and biological systems contain parameters that need to be estimated from measured data. Models with parameters distributed probabilistically require the estimates of a probability measure over the set of admissible parameters. We propose to use frequentist-based approaches for non-parametrically estimating probability measures that describe the distribution of par ...

This Phase I program is focused on enhancement of the performance of MgZnO based solar blind detectors. MgZnO alloys have superior optoelectronic properties with bandgaps suitable for solar blind detection. Issues related to doping and miscibility will be addressed. This will involve the use of advanced MOCVD and MBE growth techniques and consideration of both Schottky and p-n junction devices. No ...

FuelCell Energy, Inc., in collaboration with the University of Minnesota, is proposing to develop an innovative fuel processor for person-portable fuel cell power system applications. The system will be designed to reform butanol into a hydrogen-rich stream suitable for use in a low-temperature Proton Exchange Membrane (PEM) fuel cell. The technical approach will focus on the development of a no ...

Present thermoelectric devices operate at about 10% of the Carnot efficiency, whereas the efficiency of compressor-based refrigerators is larger than 30%. An increase in the thermoelectric figure of merit ZT above 3 is needed before thermoelectric technology can replace current air conditioning technologies in many applications. Recent models have predicted that ZT can reach 6 in metal/HgCdTe supe ...

The capability to reliably and remotely detect, identify and track biological aerosols is a critical need for the United States military. EPIR Technologies proposes to improve this capability by making use of the infrared signatures from biological aerosol broadband Mie scattering, comprising both mid and long wavelength infrared (MW/LWIR) components, as well as a potential polarization component. ...

Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...