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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.
Download all SBIR.gov award data either with award abstracts (290MB)
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
Closed-Loop Feedback Control for Transcranial Direct Current StimulationSBC: QUANTUM APPLIED SCIENCE & RESEARCH INC Topic: AF17BT002
Because of rising demand for human analysts and more efficient processing of increasingly large and challenging amounts of intelligence, human limitations on mental workload, cognitive fatigue, and attentionor task engagement, need to be accurately monitored in real-time in order to provide sensitive detection of impaired cognitive states. It is a challenge to continuously monitor these cognitive ...STTR Phase I 2018 Department of DefenseAir Force
Novel Ionic liquids for Reversible ElectroplatingSBC: BUSEK CO INC Topic: AF16AT20
Busek Co. Inc. and The University of Notre Dame propose to develop room-temperature ionic liquids (ILs) that are robust, non-volatile, transparent, radiation hard, and atmospherically tolerant for use in electrolytes for reversible electroplating applica...STTR Phase I 2016 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