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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: NEXTGEN AERONAUTICS, INC. Topic: AF14AT01
Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...STTR Phase II 2016 Department of DefenseAir Force
SBC: TECH-X CORPORATION Topic: AF15AT33
The overall project objective is to develop and demonstrate a software package based on Fermi kinetics charge transport and Delaunay/Voronoi field discretization that accurately predicts semiconductor device behavior from DC up through the mm-wave and TH...STTR Phase II 2016 Department of DefenseAir Force
SBC: SEAKR ENGINEERING, LLC Topic: AF11BT12
The SEAKR team proposes to continue development of the advanced protocol routing system begun in the Phase I effort, to reduce risk toward a flight deployable system for SATCOM assets such as Iridium NEXT. SEAKRs development of the Iridium NEXT modem...STTR Phase II 2016 Department of DefenseAir Force
SBC: Intelligent Automation, Inc. Topic: AF14AT09
Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...STTR Phase II 2016 Department of DefenseAir Force
SBC: VURONYX TECHNOLOGIES LLC Topic: AF16AT27
In this Phase 1 proposal, Vuronyx Technologies in collaboration with Georgia Institute of Technology, Atlanta (GT) intends to fabricate composite panels using high strength and high modulus carbon fibers synthesized from polyacrylonitrile (PAN) precursor...STTR Phase I 2016 Department of DefenseAir Force
Laser and Rapid-thermal Crystalization of GeSn and SiGeSn layers for IR detectors and Si-based OE devicesSBC: FREEDOM PHOTONICS LLC Topic: AF16AT28
Advanced infrared imaging techniques are of great interest but associated high costs of III-V and II-VI SWIR and MWIR materials prohibit their widespread deployment and integration with other optoelectronic devices. Freedom Photonics and its team partner...STTR Phase I 2016 Department of DefenseAir Force
SBC: APIC CORPORATION Topic: AF16AT28
Tensile-strained germanium tin structures will be developed for infrared emitters and detectors that are compatible with silicon fabrication processes.Optical detectors in the wavelength range of 2-5 microns will be developed by using GeSn on silicon ...STTR Phase I 2016 Department of DefenseAir Force
SBC: TRITON SYSTEMS, INC. Topic: AF16AT26
Triton is proposing to develop a family of preceramic polymers and polymer formulations that will produce group 4 (Zr and Hf) carbides and carbide/boride mixtures in good yield. The target yield for the program is 60 vol%. The goal is to develop material...STTR Phase I 2016 Department of DefenseAir Force
SBC: BOSTON FUSION CORP Topic: AF16AT29
Automatic target recognition (ATR)the identification of a potential target based on signatures in sensor datais fundamentally a question of information content. While ATR has been studied for decades, it remains a challenge because multifarious tar...STTR Phase I 2016 Department of DefenseAir Force
Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral ImagerySBC: TOYON RESEARCH CORPORATION Topic: AF15AT35
Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...STTR Phase II 2016 Department of DefenseAir Force