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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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Developing a Detailed Chemical Kinetic Model for C-SiC-SiO2-Rubber Composite Materials Exposed to High Temperature, High Pressure, Oxidizing Environme
SBC: AERODYNE RESEARCH INC Topic: N10AT005The objective of this proposed Small Business Technology Transfer (STTR) effort is to develop an experimentally-validated, highly detailed chemical kinetic reference model of surface chemistry for C-SiC-SiO2 rubber composite materials exposed to high temperature, high pressure, oxidizing environments. This reference model will then be reduced into simplified reduced-order models that could be easi ...
STTR Phase I 2010 Department of DefenseNavy -
Characterizing JP-10 High Temperature Decomposition Chemistry using RMG- An Automatic Reaction Mechanism Generator
SBC: AERODYNE RESEARCH INC Topic: N09T011Aerodyne Research, Inc. (ARI) and MIT are collaborating to extend their successful Phase I effort to fully develop and validate a comprehensive JP-10 combustion mechanism, using a novel automatic reaction mechanism generation tool (RMG) developed at MIT. JP-10 is a very attractive, but complex fuel whose combustion chemistry is poorly understood. In Phase I, the ARI/MIT team successfully developed ...
STTR Phase II 2010 Department of DefenseNavy -
A Multiscale Modeling and Simulation Framework for Predicting After-Burning Effects from Non-Ideal Explosives
SBC: REACTION ENGINEERING INTERNATIONAL Topic: N10AT002The primary objective of the proposed effort is to develop a validated computational tool to predict the afterburning of non-ideal munitions containing metal and hydrocarbon fuels. The activities outlined devise a well-coordinated collaboration among researchers from Reaction Engineering International (REI) and the State University of New York at Buffalo (UB). The activities proposed will build on ...
STTR Phase I 2010 Department of DefenseNavy -
A Pressure-Dependent Detailed Chemical Kinetic Model for JP-10 Combustion
SBC: REACTION ENGINEERING INTERNATIONAL Topic: N09T011Investigations into JP-10 combustion chemistry thus far can be characterized as preliminary. The detailed chemical kinetic mechanisms that have been published are limited in their ability to reproduce experimental data. The combustion chemistry of JP-10 is highly complex, involving hundreds if not thousands of species and thousands of chemical reactions. A detailed kinetic model capable of predict ...
STTR Phase II 2010 Department of DefenseNavy -
A Rugged and Miniaturized Optical Coagulation Monitor
SBC: SPECTRAL SCIENCES INC Topic: N10AT043A team consisting of Spectral Sciences Inc., Boston University, Boston University Medical School, Radcliffe Consulting and Brighton Consulting will collaborate to develop and validate a novel optical device for the monitoring and evaluation of blood coagulation. In this proposal we describe a novel optical blood coagulation monitoring instrument. The instrument has no moving parts, uses very small ...
STTR Phase I 2010 Department of DefenseNavy -
Manufacturing of Physical Scale Models for Signature Reduction
SBC: Texas Research Institute, Austin, Inc. Topic: N09T016The suppression of a ship’s magnetic signature is important in the effort to thwart detection by adversarial forces and prevent engagement with magnetic fused weapons. There are two ways to model ship magnetic signatures; through the use of finite element based analytical models and through the use of physical scale models (PSM). Finite element based analytical models are less expensive and have ...
STTR Phase II 2010 Department of DefenseNavy -
Design and Development of ZnO Nanowire based UV/IR Sensors for Threat Detection and Threat Warning Applications
SBC: MAGNOLIA OPTICAL TECHNOLOGIES, INC. Topic: N09T004Next generation UV Nanotechnology based sensors are needed for a variety of Naval Systems that includes Threat detection, Hostile fire indication (HFI) and Threat Warning Applications. Magnolia as part of the proposed Phase II STTR Program plans to design, and develop high sensitivity ZnMgO/ZnO nanowire based detector arrays for next generation multicolor sensor applications. The key components of ...
STTR Phase II 2010 Department of DefenseNavy -
Optical External and Intrinsic Fiber Cooler for GaN Microwave Amplifier
SBC: Photonic Systems, Inc. Topic: N10AT017In this STTR program, Photonic Systems Inc. and Prof. Jacob Khurgin at Johns Hopkins University propose novel optical external and internal fiber cooling approaches to efficiently cool the high power GaN microwave amplifier. The external cooler is a single end, square-shape, Yb:ZLAN fiber with high reflection (HR) coated surface which can attach to the amplifier surface and create a cold spot at t ...
STTR Phase I 2010 Department of DefenseNavy -
FreeSwim: Autonomous Behaviors for Undersea Sensors
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N10AT038Future naval operations are expected to make extensive use of unmanned vehicles to support a range of operations, including intelligence gathering, mine warfare, force protection, and anti-submarine warfare. Current unmanned systems are typically controlled remotely by an operator who directly manipulates a control interface for the vehicle. The effectiveness of this approach is obviously limited ...
STTR Phase I 2010 Department of DefenseNavy -
Automated Linguistic Analysis Revealing Misrepresentation and Messaging (ALARMM)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N10AT029The proposed Automated Linguistic Analysis Revealing Misrepresentation and Messaging (ALARMM) system significantly advances the state of the art in detecting deception in unstructured data such as Web sites and chat messages. Our research focuses on automated techniques based on linguistic theory that can detect both misrepresentations and hidden messages. The proposed work draws on the field of s ...
STTR Phase I 2010 Department of DefenseNavy