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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.

  1. Low Power Retroreflectors for Optical Communications

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: A06T005

    Optical retro-reflectors have been used for communications for many years. The approach has many advantages, when one terminal has limited power, space, weight, and a low cost as requirements. The major limitation for “Retro-Comms” has been that the modulator consumes too much power at higher modulation rates. What we propose is to reduce the power, size, weight and cost of the Retro-Modula ...

    STTR Phase I 2006 Department of DefenseArmy
  2. High-current Field Emitter Arrays for Directed Energy Weapons

    SBC: Calabazas Creek Research, Inc.            Topic: AF06T018

    CCR will team with SRI International to develop high current field emission arrays for high power RF source. The Phase I program will utilize a combination of analytical calculation, computer simulation, and experimental verification to study various approaches and determine their effectiveness in achieving the program goals. The technical objective of the Phase I program will be to develop field ...

    STTR Phase I 2006 Department of DefenseAir Force
  3. SUGV-Integrated Non-Contact Deep UV Biochemical Agent Surface Detector (UVBASD)

    SBC: PHOTON SYSTEMS, INC            Topic: A06T029

    This proposal addresses the need for miniature, low power, reagentless, robot-mounted, instruments for real-time detection and classification of trace concentrations of biological and chemical agents on surfaces. Deep UV laser induced native fluorescence (UVLINF) is the most sensitive technique for detection and rough classification of trace amounts of biological and organic materials. Photon Sy ...

    STTR Phase I 2006 Department of DefenseArmy
  4. Combustion Stability Innovations for Liquid Rocket

    SBC: METACOMP TECHNOLOGIES INC            Topic: AF06T005

    The proposed effort can provide the framework for a unified modeling & simulation program to substantially improve the capability for understanding, analyzing, and predicting the underlying mechanisms dictating the combustion stability characteristics of liquid-propellant rocket engines. Emphasis will be placed on the effects of atomization, mixing, and distributed combustion of liquid oxygen (LO ...

    STTR Phase I 2006 Department of DefenseAir Force
  5. Security Escorts for Not-Yet-Trusted Software

    SBC: Stottler Henke Associates, Inc.            Topic: OSD06SP2

    With the rapid release of new software applications, builds and patches for existing applications, and increased mobility of software across networks, more of our systems will run software applications that may not have a full pedigree of evaluation and testing to ensure that they are free from exploits and malware. Additionally, any previous certifications are invalidated at the first update. H ...

    STTR Phase I 2006 Department of DefenseAir Force
  6. Functionalized Single Walled Carbon Nanotubes for High Performance Composites

    SBC: Carbon Solutions Inc            Topic: N06T031

    The objective of the proposed research is to use chemistry to modify single-walled carbon nanotubes (SWNTs) and engineer the interfacial interaction with polymers to synthesize composite materials with enhanced mechanical, electrical and thermal properties. We will conduct research on the synthesis and properties characterization of SWNT-reinforced composites based on epoxies and vinyl esters. Our ...

    STTR Phase I 2006 Department of DefenseNavy
  7. Real-Time Resource Optimization of a UAV Network for Continuous Video Tracking

    SBC: Parietal Systems, Inc.            Topic: AF06T020

    Networks of UAV’s equipped with video sensors promise an affordable capability to keep track of moving ground targets of military interest in an urban environment in the presence of target occlusion, clutter, and other background traffic. But maintaining continuous track on multiple targets that move in and out of the field of view of any single UAV’s sensor poses a significant problem of cont ...

    STTR Phase I 2006 Department of DefenseAir Force
  8. Advanced Robotic Detection of Chemical Agents, Toxic Industrial Gases, and IEDs for Force Health Protection.

    SBC: IONFINITY, LLC            Topic: A06T029

    We propose to develop a novel chemical agent sensor through a joint collaborative effort between IonFinity, the Jet Propulsion Laboratory, and Imaginative Technologies. This chemical sensor consists of 1) a new and powerful detector called a Differential Mobility Spectrometer which has been developed at Imaginative Technologies by team member Dr. Gary Eiceman, and 2) a novel “soft-ionization” ...

    STTR Phase I 2006 Department of DefenseArmy
  9. Carbon Nanotube Antennnas

    SBC: RF Nano Corporation            Topic: A06T012

    It is the purpose of this Phase I STTR program to both demonstrate proof of concept of long nanotubes as receiving and transmitting microwave antennas, and to develop detailed simulation tools to predict their performance and determine the optimum geometry. This will build on four years of UC Irvine experience fabricating mm long individual single walled carbon nanotubes, and pioneering theoretica ...

    STTR Phase I 2006 Department of DefenseArmy
  10. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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