Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. Novel Sacrificial Fibers for Microvascular Composites with Embedded Thermal Management Devices

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: AF13AT09

    ABSTRACT: Aurora will demonstrate on our automated fiber placement (AFP) machine that we are able to lay up composite panels that contain sacrificial fibers that can be thermally decomposed to create a microvascular network of small cavities that allow the panel to act as a heat exchanger. The AFP machine is capable of producing composite parts from mold tools as large as 9"high by 18"wide by 56 ...

    STTR Phase I 2014 Department of DefenseAir Force
  2. Optical Remote Detection of Low Level Earth Surface Vibrations

    SBC: Spectral Sciences, Inc.            Topic: AF12BT02

    ABSTRACT: Underground facilities can be used by rogue governments to conceal command-and-control and to manufacture weapons of mass destruction, and are an increasingly important operational challenge to U.S. military forces. Our objective is to determine improved methods of detection essential to address this critical intelligence need. Activity below the ground causes seismic surface waves th ...

    STTR Phase II 2014 Department of DefenseAir Force
  3. Particulate Composite Mixing Processes

    SBC: Triton Systems, Inc.            Topic: AF14AT22

    ABSTRACT: Triton Systems proposes to develop a novel computational model for complex particulate composite mixing processes and the resultant microstructures in high shear environments. Control of mixing of granular and particulate composites (e.g., particles in a polymer matrix) to achieve homogeneous mixtures is essential in many important functional material systems and applications, including ...

    STTR Phase I 2014 Department of DefenseAir Force
  4. Representation and Inference for Developing Deep Language Engines (RIDDLE)

    SBC: Charles River Analytics, Inc.            Topic: AF13AT11

    ABSTRACT: Intelligence analysts need to process large amounts of text information to form an understanding of a topic of interest. The sheer amount of information can be overwhelming, so automated text analytics that assist with filtering, information extraction, and document understanding, can be highly beneficial. Deep natural language processing (NLP) applications require both structural knowl ...

    STTR Phase I 2014 Department of DefenseAir Force
  5. Secure Efficient Cross-domain Protocols

    SBC: INFOBEYOND TECHNOLOGY, LLC            Topic: AF13AT08

    ABSTRACT: Coordinating and sharing information across multi-level security (MLS) networks are of great interest in many military applications. However, it is very challenging to accomplish those goals due to the heterogeneous security classifications of different network domains. The recent proposed cross-domain solutions (CDS) provide initial steps to make such applications possible. However, th ...

    STTR Phase I 2014 Department of DefenseAir Force
  6. Security in Cyber-Physical Networked Systems

    SBC: Tenet 3, LLC            Topic: AF13AT05

    ABSTRACT: This proposal is organized around a system decomposition (break the system down to understand and exploit) then composition (rebuild the system with improved defensive measures) methodology. The first step to understanding a system is gathering all associated documentation. Then based on that insight the system is decomposed by discovering susceptibilities (inherent weaknesses) and a ...

    STTR Phase I 2014 Department of DefenseAir Force
  7. Ultra-High Density Ion Propulsion From Ionic Liquids

    SBC: Busek Co., Inc.            Topic: AF11BT10

    ABSTRACT: Busek Co. Inc. and Massachusetts Institute of Technology (MIT) propose to explore the physical limits of ionic liquid propulsion via development of new theory to explain effects of close packing emission density and to predict performance limits. The research is motivated by observations and tests demonstrating that emission from 2-dimensional porous surfaces yields order of magnitude g ...

    STTR Phase II 2014 Department of DefenseAir Force
  8. Wind Turbine Clutter Mitigation

    SBC: Matrix Research, Inc.            Topic: AF12BT05

    ABSTRACT: Matrix and CSU are poised to develop algorithms to suppress radar WTC while preserving signals from targets of interest such as aircraft and weather. Our processing approach will be capable of utilizing radar data from either stationary- or scanning-mode ground-based systems. We will work closely with our transition partner to develop a Phase II transition plan to integrate our approac ...

    STTR Phase II 2014 Department of DefenseAir Force
US Flag An Official Website of the United States Government