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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: Bioenno Tech, LLC Topic: N17AT011
Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...STTR Phase II 2019 Department of DefenseNavy
SBC: Aegis Technologies Group, LLC, The Topic: AF18BT003
Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Luminit LLC Topic: AF18BT004
To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Silvus Technologies, Inc. Topic: AF18BT005
Silvus Technologies and the University of California Los Angeles propose a system design and a rapid development path for the Regional Radio Frequency Attenuation and Interference Monitor, or â€˜RF-AIMâ€™. RF-AIM is intended to provide continuous wide area awareness of RF spectrum availability in the presence of arbitrary interference and attenuation from natural or man-made causes. The t ...STTR Phase I 2019 Department of DefenseAir Force
SBC: UHV TECHNOLOGIES, INC. Topic: AF18BT007
The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SIGNAL SOLUTIONS, LLC Topic: AF18BT013
Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Information Systems Laboratories, Inc. Topic: AF19AT010
Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SOUTH 8 TECHNOLOGIES, INC. Topic: AF19AT014
The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...STTR Phase I 2019 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: Aegis Technologies Group, LLC, The Topic: AF17AT029
Current fielded sensor protection is limited to fixed wavelength filters. Broadband filters designed to circumvent multi-wavelength laser threats are plagued by low transmittance, which degrades the sensitivity and performance of the sensor. Future warfighter threats include frequency agile lasers and thus have the potential of defeating fixed filters. Self-activating (passive) devices where prote ...STTR Phase II 2019 Department of DefenseAir Force