Award Data

Category theory has recently been successfully applied to translate information from one computer system to another. Researchers at MIT have developed a prototype software tool based on category theory for solving information-integration programs. The tool has successfully solved small-scale information-integration problems including a problem identified by NIST about enriching the manufacturing s ...

Keeping aging nuclear power plants in operation is crucial to the energy requirements of the United States. Monitoring and maintaining the strength and durability of concrete structures in power plants is essential for their ongoing safety and longevity. RMD is developing solidstate eddy current sensor technology with superior sensitivity, signaltonoise ratio, depth of interrogation, and spatial r ...

The quest to understand dark matter is one of the major activities in modern particle physics and astrophysics. It is widely believed that dark matter is composed of a new type of subatomic particle that is not yet well understood. An important discovery in this area is the annual modulation signal measured using sodium iodide scintillation crystals deep in an underground laboratory in Italy. Whil ...

The high energy physics (HEP) community, the scientific and medical communities and the public at large, require the availability of high sensitivity photosensors with improved spatial and temporal resolution that can be scaled to large areas, and manufactured in a robust, durable and compact package at a low cost. Under Phase II TTO program (DOE Award #DESC0009717) Incom Inc. has established the ...

For use in congested traffic, start stop vehicle technology (microhybrid) offers the promise of significant increases in fuel economy and reduction of pollutant emissions, without large increase in the vehicle sales price. A key enabling component of the start stop system is the battery. Present start stop systems employ lead acid batteries because of their low initial cost and excellent low tempe ...

With the growth of oil and gas recovery from shale deposits, technologies for costeffective aerial mapping of topography around critical infrastructure, such as well pads, roads, and pipeline corridors, are of increasing importance for design, maintenance and safety. Remote monitoring is needed to identify, in realtime, topographical changes arising from erosion, stream sedimentation, or other sur ...

This Phase II Small Business Innovation Research project targets the development of a technology for segregating fuelbased contaminants (char and ash) from oxygen carrier material in the context of chemical looping combustion application. In chemical looping, the wellmixed solids that flow from the fuel reactor consisting of char, ash, and oxygen carrier particles cannot be completely separated in ...

Current methods for manufacturing carbon fiber rely on high temperature ovens for the stabilization/oxidation and carbonization steps, which tend to be slow and energy intensive. As such, carbon fiber composites are expensive then steel, which limits their use in costsensitive, highvolume industrial applications such as automobiles, oil and gas, and infrastructure. To reduce energy consumption and ...

A key goal of our nation’s energy program is the development and proliferation of electric vehicles, plugin hybrid electric vehicles, and hybrid electric vehicles to replace our demand for gasoline and diesel engine powered vehicles. An important step for this electrification is the development of more cost effective, longer lasting, and more abusetolerant rechargeable batteries. Due to their lo ...

Compact, broad band, high speed hyperspectral imagers are needed for dynamic vegetation trait determination from unmanned aerial vehicle platforms. Dynamic trait determination will replace incomplete plant functional type classification limited by fixed parameterization with the result of more accurate prediction of carbon fluxes by Earth system models. • General statement of how this problem i ...