Award Data

Lithium-air battery consists of a lithium anode electrochemically coupled to atmospheric oxygen through an air cathode. The major advantages of lithium air batteries are that air cathode active material, oxygen, is not stored internal to cell system and lithium anode being extremely lightweight metal with a highest theoretical specific energy density. This energy density is well comparable with t ...

This Phase I STTR project will develop a platform to demonstrate high-quality, multi-modal acquisition of neurophysiological signals, including EEG, heart rate/blood oxygenation via photoplethysmography (PPG), electrodermal (EDA) activity, temperature plus environmental factors such as ambient light and sound in a simple, wearable headband. The hardware will be coupled with the development of a cl ...

We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and computing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce a manufacturable, commercializa ...

The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...

This STTR program proposes to exploit the tremendous benefits that could be offered by the development of ultra fine grain steel alloys for application to the production of high performance components for military rotorcraft applications. A severe plastic deformation technology based on isothermal forging technologies will be explored here. The goal is to demonstrate a practical, production leve ...

Random numbers are essential for a growing number of modern applications. As computer speed and communications bandwidth have increased the potential for practical streaming cipher and large-scale Monte Carlo simulations have become technologically feasible. For these and other applications, ultrafast random number generators are essential. This is intuitively clear. Additionally, however, the ide ...

Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

Topological data analysis is a new mathematical method used to study these massive data sets that arise in a variety of situations including military operations and national security. The use of passive infrared sensors for a wide area detection system involving chemical and biological contaminants produces massive amounts of hyperspectral image data. Recent research in this area include fast al ...

Deposition of highly conductive, continuous thin film metals has proven to be a significant challenge. There are several techniques that allow deposition of these metals, but their application is limited to planar surfaces and only offer complete line of sight deposition. During a recent Phase I STTR project, Summit Information Solutions, Inc. (Summit), in partnership with University of Alabama in ...

Inspired by the self-nonself discrimination in our natural immune system, we propose to develop the first practical immune system that will provide unprecedented real-time protection for identified tactical platforms and networks in ARMY's Common Operating Environment (COE). Unlike previous models of self which are passive reflection of the exiting being of the protected program or system, our mod ...