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 ...

In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...

Quantum information processing has the potential to revolutionize the U.S. economy, with a potential market value of hundreds of billions of dollars for quantum-information based technologies in a wide variety of sectors, including pharmaceuticals, energy, transportation, and cyber security. A major obstacle to realizing this potential is overcoming the error-prone nature of quantum information, w ...

The Key to further improving the data rate in data communication while minimizing the power consumption is to improve the linearity of a power amplifiers in the system. Carbon Nanotube (CNT) offer intrinsically linear behavior, but to realize advanced linearity in a practical device requires high quality CNT material, and a fabrication process that can take the full advantage of the superior prope ...

Clinical monitoring of mental health status has not evolved much from the routine meeting between patient and clinician, which suffers from a lack of quantification, irregular and anecdotal reporting, and does not necessarily include input from caregivers. This is unfortunate given today's technology, where people routinely volunteer to track their own health related behavior, such as exerc ...

SensorMetrix proposes to develop a short range imaging radar utilizing compressive sensing techniques to enable rapid image acquisition and update for purposes of providing real time detailed imaging for landing assistance to pilot during degraded visual environment conditions. The proposed technology combines compressive sensing techniques and active metamaterial technology enabling a route to d ...

This proposal addresses the problem of PCSS/laser trigger integration using a single monolithic laser diode array, thus simplifying the entire optical delivery network necessary for efficient operation of PCSSs. Phase 1 effort will focus on (1) overall feasibility study of integrating PCSS with a miniature laser diode array, (2) tradeoff analysis between several options, which will result in choo ...

In this STTR program, technology created at the University of California at Santa Barbara (UCSB) to fabricate silicon photonics based integrated laser devices, including wafer bonded gain elements, will be utilized to develop ultra-coherent integrated laser devices that are widely tunable. Novel laser designs developed by Morton Photonics, taking advantage of ultra-low loss microresonator based f ...

Waste generation at forward bases creates significant challenges; its disposal presents an economic cost with no direct benefit and its accumulation or burning is a health hazard. The bioconversion of waste into useful compounds could save thousands annually for every soldier and tens of millions in capital expenditure. However, widespread adoption is impeded by low conversion efficiency. We propo ...

Using advanced ion optics that was developed by Pacific Northwest National Laboratory (PNNL), BaySpec will develop a prototype of portable mass spectrometer (less than 40 lb. and 300W) with continuous atmospheric pressure inlet that is fully capable of uninterrupted on-line sampling from an ambient environment. The continuous nature of the inlet ensures full compatibility with separation technique ...