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SBC: VESCO-NM, LLC Topic: AF16AT25
Molecular beam epitaxy has become essential technique to produce high quality materials and complicated structures. Competing with other growth techniques, such as MOCVD, it has demonstrated higher materials quality and better film uniformity. These adva...STTR Phase I 2016 Department of DefenseAir Force
SBC: EDWARD POPE DR Topic: AF16AT26
In this Air Force Phase I STTR program, MATECH proposes to demonstrate novel pre-ceramic polymer systems complimenting the development of Ultra High Temperature (UHT), high ceramic yield, refractory ceramic matrix composites (CMCs). A leader in developme...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: Freedom Photonics LLC Topic: AF16AT30
allowing the sensitive RF front-end to be located away from the now more compact phased array antenna. We are proposing a rugged photonic integrated spatial division multiplexing RF link for phased array system with low cost, size, weight and power cons...STTR Phase I 2016 Department of DefenseAir Force
SBC: Freedom Photonics LLC Topic: AF14AT13
This work will focus on the development of monolithic SWIR focal plane array technologies using CMOS or CMOS compatible fabrication technology. This will be realized on a Silicon substrate and incorporate APD+TIA arrays and be scalable to Megapixel arrays and coherent receiver operation for capture of the full optical wavefront vector information.STTR Phase II 2016 Department of DefenseAir Force
SBC: SPECTRAL MOLECULAR IMAGING, INC. Topic: AF15AT12
Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...STTR Phase II 2016 Department of DefenseAir Force
SBC: Tier 1 Performance Solutions, LLC Topic: AF15AT14
Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...STTR Phase II 2016 Department of DefenseAir Force
SBC: UTOPIACOMPRESSION,CORPORATION Topic: AF15AT34
Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...STTR Phase II 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