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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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Phase Transitions, Nucleation and Mixing Modeling through Trans-Critical ConditionsSBC: CASCADE TECHNOLOGIES INC Topic: AF14AT23
ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...STTR Phase I 2015 Department of DefenseAir Force
Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear ProtectionSBC: INNOVATIVE TECHNOLOGY INC Topic: AF15AT31
ABSTRACT: Future corrosion and wear protection of structural metals on on military aircraft and weapon systems will require advanced development of metallic and composite materials that are not restricted with respect to environment, safety and occupational health regulations. Conventional metallic alloys containing chromium, nickel, cobalt, and tungsten that have historically provided coating pro ...STTR Phase I 2015 Department of DefenseAir Force
Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon SystemsSBC: INNOVATIVE TECHNOLOGY INC Topic: AF15AT31
Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...STTR Phase II 2016 Department of DefenseAir Force
High Performance Computing for DEAP Imaging through Atmospheric TurbulenceSBC: HIGH PERFORMANCE IMAGING LLC Topic: AF18AT006
Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...STTR Phase I 2018 Department of DefenseAir Force