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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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Spatiotemporal Nonlinear Data Analysis Tools and Reduced Order Models for Prediction of High-Pressure Reacting Flow Dynamics and Control
SBC: SPECTRAL ENERGIES LLC Topic: AF12BT15ABSTRACT: This Phase-I research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based o ...
STTR Phase I 2013 Department of DefenseAir Force -
Operating System Mechanisms for Many-Core Systems
SBC: SECURBORATION, INC. Topic: OSD11T04In the Phase I portion of this STTR, Securboration and renowned multicore expert Dr. Frank Mueller from North Carolina State University designed, developed, and benchmarked the proof-of-concept Pico-kernel Adaptive and Scalable Operating-system (PICASO) for many-core architectures. The Securboration Team took a scientific, experimentation-based approach to identifying and resolving shortcomings wi ...
STTR Phase II 2013 Department of DefenseAir Force -
First-Principles-Based Framework for Discovery and Design of Sustainable Non-Rare-Earth High-Temperature Alloy Systems
SBC: CFD RESEARCH CORPORATION Topic: OSD12T06In this STTR Phase I project, CFD Research Corporation and University of Nebraska at Omaha will develop a preliminary computationally-driven first-principles framework for discovery and design of non-RE-containing alloys for high temperature applications. While rare-earth (RE) based alloys have played a pivotal role in modern defense and high-tech industry, sustainability of RE-based materials is ...
STTR Phase I 2013 Department of DefenseAir Force -
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 -
Cryodeposit Mitigation and Removal Techniques for Radiometric Calibration Chambers
SBC: OPTICAL SCIENCES CORPORATION Topic: AF12BT10ABSTRACT: Optical Sciences Corporation (OSC) and the University of Alabama in Huntsville"s Center for Applied Optics (UAH/CAO) will demonstrate the feasibility and present a plan for developing optical instrumentation for the monitoring, mitigation, and removal of cryodeposits accumulated on optical and mechanical surfaces in cryogenic-vacuum radiometric calibration chambers. OSC will investigat ...
STTR Phase I 2013 Department of DefenseAir Force -
Miniaturized, Power Efficient C-band Telemetry
SBC: Quasonix, LLC Topic: AF12BT07ABSTRACT: The overall program objective is to utilize the best available technologies to successfully develop the concept and design of a state of the art C-Band telemetry transmitter that meets or exceeds the performance qualification parameters and size constraints detailed in the AF12-BT07 solicitation. Specifically, the objective of the entire two-phase program is to develop, test, and deliv ...
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 -
Terahertz Frequency Materials Testing at Cryogenic Temperatures and in High Magnetic Fields
SBC: Lake Shore Cryotronics, Inc. Topic: AF12BT08ABSTRACT: Terahertz (THz) spectroscopies offer unmatched non-contact probing of low-energy excitations underlying electronic transport and magnetism in a wide range of novel materials. To-date, expensive and complex THz Time Domain Spectroscopy (THz-TDS) systems are the most common THz source used in these studies. Lower cost, continuous wave (CW-THz) spectroscopy systems can offer comparable per ...
STTR Phase I 2013 Department of DefenseAir Force -
A High Performance and Cost Effective Ultra High Performance Concrete
SBC: i2C Solutions, LLC Topic: AF12BT04ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...
STTR Phase I 2013 Department of DefenseAir Force -
Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures
SBC: Five Focal LLC Topic: AF12BT06ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...
STTR Phase I 2013 Department of DefenseAir Force