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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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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
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Modeling Auditory Pattern Recognition and Learning with Gradient Frequency Neural Oscillator NetworksSBC: OSCILLOSCAPE, LLC Topic: AF09BT12
This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...STTR Phase I 2010 Department of DefenseAir Force
SBC: NUMERICA CORPORATION Topic: AF09BT02
Accurate and timely surveillance of objects in the near-Earth space environment is becoming increasingly critical to US national security. One of the main difficulties in this domain is efficiently and accurately modeling trajectories of the vast number of objects in orbit around the Earth. The orbital trajectory of a single object is typically modeled as a second-order system of equations which ...STTR Phase I 2010 Department of DefenseAir Force
SBC: TECH-X CORPORATION Topic: AF09BT10
We propose to develop a commercial weakly ionized plasma modeling capability based off of Tech-X’s high energy density plasma fluid code TxFluids. The new additions will be able to be used to model hypersonic vehicle physics including shock waves, plasma chemistry and innovative techniques for blackout mitigation and hypersonic vehicle control through the application of electric and/or magnetic ...STTR Phase I 2010 Department of DefenseAir Force
SBC: POLARONYX INC Topic: AF08BT30
Based on our success in developing the world first commercial 100 micro JouleSTTR Phase I 2010 Department of DefenseAir Force
SBC: Microxact, Inc. Topic: AF09BT23
To streamline data processing in, e.g., hyperspectral imaging, new massively parallel data processing circuits are needed. The team of MicroXact Inc. and UC Santa Barbara propose to develop circuits based on completely novel computing paradigm, which could be extremely efficient (i.e. dense, relatively inexpensive, and consume very little power) for massively parallel signal processing. We offer t ...STTR Phase I 2010 Department of DefenseAir Force
SBC: Microxact, Inc. Topic: AF09BT39
Photovoltaics, while promising clean and reliable energy source, is not yet compatible with fossil energy for most applications. Organic-based solar cells have potential to reduce the cost of solar energy due to low-cost active materials, high-throughput reel-to-reel deposition technologies, low-temperature processing and application versatility. Currently organic photovoltaics (OPV) cannot commer ...STTR Phase I 2010 Department of DefenseAir Force
SBC: Physical Engineering Corporation Topic: AF09BT39
This Phase I STTR proposal will demonstrate nanostructured “metal-black” coatings to enhance absorption by thin film solar cells. The problem is that silicon has low absorption due to its indirect gap. The opportunity is that nano-scale metallic scattering centers increase the effective optical path length and enhance the solar electric-field strength in thin-film solar cells, leading to more ...STTR Phase I 2010 Department of DefenseAir Force
SBC: MARC PEREZ Topic: AF19BT001
In the wake of ransomware reaching epidemic proportions and the current anti-ransomware productsâ€™ inability to stop its march, there is a great deal of urgency in creating effective countermeasures. Our proposal is to design and subsequently develop a technology called Program Access Control (PAC), that can positively protect data on both consumer and enterprise systems. If successfully dep ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Electronics of the future, Inc.. Topic: AF19BT001
The focus of this proposal is FA-002 - artificial intelligence (AI), which will be used for the hardware cyber security. AI will link the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. An increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a key problem. New rapid, inex ...STTR Phase I 2019 Department of DefenseAir Force
SBC: OmniScience LLC Topic: AF19BT001
This proposed Phase I STTR effort will be a collaboration between OmniScience LLC and the University of Colorado Colorado Springs (UCCS) Vision and Security Technology (VAST) Lab. The primary objective of this Phase I effort is to demonstrate feasibility of a brain computer interface (BCI) controller for augmented/virtual reality (AR/VR) and conventional screen displays, referred to herein as an A ...STTR Phase I 2019 Department of DefenseAir Force