Award Data

Impact Technologies, in collaboration with the Georgia Institute of Technology, the Rochester Institute of Technology and the Boeing Company, is proposing to complete the development, testing and evaluation of a novel biologically-inspired Micro Air Vehicle (MAV) conceptualized in Phase I and capable of agile and high endurance flight operations in dense and cluttered urban environments. Phase I a ...

Nanoscale infrared detectors are emerging as a potentially powerful alternative to traditional infrared detector technologies. The University of New Mexico has developed dots in a double well (DDWELL) quantum dot infrared photodetectors which have a spectral responsivity that can be tuned by controlling the bias voltage applied. In this Phase II effort, Polaris Sensor and UNM would fabricate a g ...

Esensors, with SUNY at Buffalo and SUNY at Albany as a subcontractor, will simulate, fabricate, experimentally investigate, evaluate, and deliver aprototype of a new adaptive IR photodetector based on advanced quantum dot (QD) structures. The detector’s operating principle is based on a new concept of the photoelectron lifetime tunable via adjustable potential barriers in QD structures. The phot ...

The Air Force and other government and private entities must safely dispose of Aqueous Film-Forming Foam Waste (AFFF).The waste is problematic due to a high fluorine content.The thermal decomposition of AFFF by supercritical water oxidation (SCWO) was accomplished in a continuous flow reactor during Phase I demonstrating >99% AFFF conversion efficiency.Phase II will build on the bench-scale work b ...

Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...

High-pressure turbulent combustion occurs in many combustion devices critical to the Air Force. Notwithstanding significant progress in computational modeling of these devices; several challenges have remained. A fundamental challenge is identification of reaction pathways and reactions in small molecule foundational chemical kinetics requiring improvements under these high-pressure turbulent cond ...

High speed air vehicles operate at material strength performance limits and are at significant risk when subjected to additional localized heating that can result in softening, pitting and burn-through the material and potentially change the vehicle structural profile. These effects degrade aerodynamic performance. The team of CFDRC and UDRI proposed to develop, validate and deliver a comprehensiv ...

Modern processor design is trending increasingly toward multicore architectures. This is problematic for programmers because writing a correct parallel program is known to be difficult compared to writing the equivalent sequential program. Additionally, a wide body of sequential code has already been developed that cannot exploit the power offered by these new cores because it was written in a s ...

Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments, including physics-based simulated sensor views. As new methods for sensor view generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficien ...