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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: CFD RESEARCH CORPORATION Topic: AF16AT14
Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...STTR Phase I 2016 Department of DefenseAir Force
SBC: GEOMETRIC DATA ANALYTICS INC. Topic: AF16AT12
Extracting information from different modalities of data is one of the greatest challenges in this era of exponential data growth, as well as one of the most promising horizons for the development of new capabilities for military, commercial, and scientific applications. Virtually all areas of defense, industry, and science are becoming increasingly dependent on the ability to analyze multimodal d ...STTR Phase I 2016 Department of DefenseAir Force
SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION Topic: DTRA16A003
Micro-RDC will develop portable radiation effects test structures that scales to new process nodes. These structures will enable the investigation of the effects of radiation on the new technology from the material processing level as well as the circuit level. The production of the chosen structures and the development of software to extract the model parameters will form the framework. A suit ...STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION Topic: AF16AT17
Micro-RDC proposes to demonstrate the feasibility of developing low-cost, low-weight, reliable packaging materials and processes to produce low-power advanced Integrated Circuits (ICs) that can operate continuously at temperatures between -55C and +225...STTR Phase I 2016 Department of DefenseAir Force
Modeling and Simulation for Design, Development, Testing and Evaluation of Autonomous Multi-Agent ModelsSBC: EDUWORKS CORPORATION Topic: AF15AT14
U.S. forces are benefiting from automation systems of unprecedented sophistication, empowered by advances in artificial intelligence (AI) and human-systems interaction. In air combat operations, onboard intelligent assistants monitor the aircraft, interpret and carry out commands, and report aircraft and system status, mission progress, threats and alerts. Because pilots and agents are part of a n ...STTR Phase II 2016 Department of DefenseAir Force
SBC: STREAMLINE NUMERICS INC Topic: AF16AT23
Structural energetic materials or multifunctional energetic materials offer the ability to combine the high energy release rates of traditionalhigh explosives with structural strength. When successfully formulated therefore they can lead to light-weight, high-performance and hithertoinaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so th ...STTR Phase I 2016 Department of DefenseAir Force
SBC: TENET 3, LLC Topic: AF13AT05
Achieving cyber security has been problematic given the general lack of foundational quantitative metrics to gauge the advantages of one security solution over another. This work significantly advances the development of quantitative metrics and the sec...STTR Phase II 2016 Department of DefenseAir Force
SBC: i2C Solutions, LLC Topic: AF12BT04
ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...STTR Phase I 2013 Department of DefenseAir Force
SBC: Five Focal LLC Topic: AF12BT06
ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...STTR Phase I 2013 Department of DefenseAir Force
SBC: Quasonix, LLC Topic: AF12BT07
ABSTRACT: The overall program objective is to utilize the best available technologies to successfully develop the concept and design of a state of the art C-Band telemetry transmitter that meets or exceeds the performance qualification parameters and size constraints detailed in the AF12-BT07 solicitation. Specifically, the objective of the entire two-phase program is to develop, test, and deliv ...STTR Phase I 2013 Department of DefenseAir Force