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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Advanced Morphing Moulage for Medical Training (AMM-MT)
SBC: VCOM3D INC Topic: DHA17A002For this Phase I SBIR proposal, Vcom3D proposes to design advanced medical moulage that accurately simulates the progression of an injury or pathology by morphing through a series of clinical states to enable learners to confirm the progression of the wound and to determine whether iatrogenic errors or pathologies occurred duing treatment. The physical morphing moulage may be applied to medical m ...
STTR Phase I 2017 Department of DefenseDefense Health Agency -
Bio-Mathematical Models of Aggregated Tissues & Organ Properties
SBC: BIOMOJO LLC Topic: DHP16A001BioMojo LLC and the Departments of Mathematics and Biomedical Engineering at the University of North Carolina Chapel Hill, will develop a preliminary bio mathematical model framework to represent how human tissues interact and behave at their boundaries. Tissue interaction properties (e.g. tensile, shear, friction, and so forth) of connective, epithelial, muscular, and nervous tissue including su ...
STTR Phase I 2016 Department of DefenseDefense Health Agency -
Micro Air Vehicle Tether Recovery Apparatus (MAVTRAP)
SBC: INNOVATIVE AUTOMATION TECHNOLOGIES, LLC Topic: AF08T014Our team proposes to develop, test, and commercialize a Micro Air Vehicle Tether Recovery APparatus (MAVTRAP). This system operates by deploying an instrumented MAV capture device attached via a tether system from a mothership unmanned air vehicle (UAV). The instrumented MAV capture device contains an integrated avionics suite. Our team will determine and control the precise mother ship UAV loi ...
STTR Phase II 2010 Department of DefenseAir Force -
Highly-Scalable Computational-Based Engineering Algorithms for Emerging Parallel Machine Architectures
SBC: RNET TECHNOLOGIES INC Topic: AF10BT13ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...
STTR Phase II 2013 Department of DefenseAir Force -
High-Frequency Calibration System for Sensors Used in High-Speed Airflow Measurements
SBC: INTERDISCIPLINARY CONSULTING CORP Topic: AF17AT003The Interdisciplinary Consulting Corporation (IC2) in partnership with the University of Florida, proposes to develop and standardize a novel, high-frequency dynamic pressure sensor calibration method and system for sensors used in the measurement of high speed flows. The proposed innovation is a novel calibration method combined with modified and repurposed measurement hardware to enable calibra ...
STTR Phase I 2017 Department of DefenseAir Force -
Highly-Resolved Wall-Shear-Stress Measurement in High Speed Flows
SBC: INTERDISCIPLINARY CONSULTING CORP Topic: AF14AT08The Interdisciplinary Consulting Corporation (IC2), in partnership with the University of Florida (UF) and Innoveering, LLC, proposes to develop an innovative precision micro-scale surface-mountable sensor for measuring local wall shear stress in [a] high speed flow field (approximately 0.8 < M < 5) to enable characterization of critical boundary layer flows in ground and flight tests in response ...
STTR Phase II 2016 Department of DefenseAir Force -
Tools for Modeling & Simulation of Molecular and Nanomaterials for Optically Responsive Devices
SBC: UES INC Topic: AF09BT30Military applications for CBRNE/GWTO and C4ISR require R&D for materials to protect personnel and equipment. However, challenges remain in experimental synthesis and characterization of new materials, such as providing insight into observed properties for further advancement. Thus, it is essential to develop a predictive modeling and simulation approach that will not only provide a fundamental u ...
STTR Phase I 2010 Department of DefenseAir Force -
Compact Laser Drivers for Photoconductive Semiconductor Switches (16-RD-863)
SBC: UES INC Topic: DTRA16A004Compact Electromagnetic Pulse Module (EMP) capable of being arranged in series-parallel planar or cylindrical arrays is needed to simulate nuclear weapon effects. High gain optically triggered photoconductive semiconductor switches (PCSS) based on Gallium arsenide (GaAs) with low timing jitter enables the development of planar or phased arrays of modular EMP or High Power Microwave (HPM) sources. ...
STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
Suppression of Wind Turbine Clutter from Radar Data
SBC: MATRIX RESEARCH INC Topic: AF12BT05ABSTRACT: It is well known that wind turbine clutter (WTC) presents a significant challenge to detecting targets in civilian and military applications. The large radar cross section (RCS) of wind turbines, combined with their significant range of Doppler spread, make traditional clutter mitigation techniques effectively useless. The objective of this Phase I effort is to develop a physically con ...
STTR Phase I 2013 Department of DefenseAir Force -
Exploitable Physics for Recognition and Classification
SBC: MATRIX RESEARCH INC Topic: AF12BT06ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...
STTR Phase I 2013 Department of DefenseAir Force