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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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 Monolayer MoS2 Transistors for RF Applications

    SBC: KYMA TECHNOLOGIES, INC.            Topic: A14AT008

    Utilizing a novel solid/gas source CVD reactor designed for the growth of large area (substrates up to 4"in diameter) MoS2 single layer (SL) and multiple layer (ML) films, and leveraging already demonstrated capabilities in the growth and fabrication of 2D-FETs based on graphene and WSe2, we are proposing the growth, fabrication and testing of MoS2-based RF FETs. Utilizing a novel and optimized s ...

    STTR Phase I 2014 Department of DefenseArmy
  2. Paper test cards for detection of illicit narcotic and cannabinioid drugs

    SBC: VURONYX TECHNOLOGIES LLC            Topic: A16AT008

    Vuronyx Technologies and Prof. Marya Lieberman at the University of Notre Dame will develop paper analytical devices (idPADs) to presumptively identify illicit drugs. All the reagents needed to perform twelve different chemical color tests are stored on the idPAD. The user rubs the powder to be tested across the PAD, then dips the PAD in water to activate the tests. Within five minutes, a color ...

    STTR Phase I 2016 Department of DefenseArmy
  3. Compressive Spectral Video in the LWIR

    SBC: PHYSICAL SCIENCES INC.            Topic: A13AT015

    Physical Sciences Inc. and Colorado State University will develop an innovative sensor that enables low-cost infrared hyperspectral imaging though the use of novel sampling algorithms which provide real-world chemical plume detection capability with compressed data and a hardware configuration which enables high frame rate capture of full 2D spatial and 1D spectral data. Compressive sensing techn ...

    STTR Phase I 2014 Department of DefenseArmy
  4. Vibration-Enhanced Sensing of Buried Landmines

    SBC: VADUM INC            Topic: A16AT004

    Vadum will develop a vibration-enhanced detection and sensing system to identify buried landmines by exciting mechanical vibrations that are detectable using a sensitive radio-frequency (RF) ground-penetrating vibrometer. The system will induce vibrations in the target electromagnetically, stimulating specific modes that distinguish mines from other metal clutter. An innovative RF vibrometer per ...

    STTR Phase I 2016 Department of DefenseArmy
  5. Technologies to Target Circadian Rhythm Disruption in PTSD

    SBC: BIOSENSICS LLC            Topic: A16AT014

    Circadian rhythm disruption misalignment causes fatigue and a variety of physical and mental ailments, and is a clinical feature of posttraumatic stress disorder (PTSD); it is also closely linked to the severity of PTSD. BioSensics, in collaboration with the Division of Sleep and Circadian Disorders at Brigham and Womens Hospital, will develop a circadian rhythm and sleep coach, Rhythm Sleep, to m ...

    STTR Phase I 2016 Department of DefenseArmy
  6. Few-optical-cycle LWIR laser system

    SBC: Q-PEAK INCORPORATED            Topic: A14AT006

    Q-Peak, Inc. in collaboration with CREOL proposes to develop a novel concept of long-wave IR (LWIR) femtosecond laser system. Current laser systems suffer from complexity due to the use of multiple nonlinear stages to achieve the desired wavelength and have issues with power scaling. The proposed system will consist of 2.5 um femtosecond regenerative amplifier system pumping a single OPA stage bas ...

    STTR Phase I 2014 Department of DefenseArmy
  7. Pathogen Specific Antimicrobial Coatings for Fabrics

    SBC: GINER INC            Topic: A14AT012

    Antimicrobial treatment of military textile systems is intended to provide enhanced protection to the Warfighter in the field by preventing colonization of harmful bacteria that cause problems such as odor, dermatitis, and skin irritation. Current treatments can impart antimicrobial functionality to textiles; however, they all possess broad-spectrum antimicrobial activity, affecting all skin bacte ...

    STTR Phase I 2014 Department of DefenseArmy
  8. Acoustically/Vibrationally Enhanced High Frequency Electromagnetic Detector for Buried Landmines

    SBC: White River Technologies Inc            Topic: A16AT004

    White River Technologies, Inc. (WRT) and University of Vermont (UVM) present this proposal, "Acoustically/Vibrationally Enhanced High Frequency Electromagnetic Detector for Buried Landmines". Among the primary gaps in our current landmine detection technology base is the ability to detect a wide range of buried explosive hazards including emerging low-metal mines and improvised explosive devices ...

    STTR Phase I 2016 Department of DefenseArmy
  9. Conductive Transmissive Coating for Enhanced-Absorption Thin Film Solar Cells

    SBC: AGILTRON, INC.            Topic: A15AT016

    Thin-film, lightweight, large-area flexible inorganic solar cells have shown promise to meet the militarys remote power needs on the battlefield. However, thin film solar cells normally have inferior conversion efficiencies due to limited absorption of sunlight by the thin active layer. Various approaches have been investigated to improve conversion efficiencies of thin film solar cells. Among the ...

    STTR Phase I 2016 Department of DefenseArmy
  10. Big Open Source Social Science (BOSSS)

    SBC: BOSTON FUSION CORP            Topic: A16AT013

    Boston Fusion Corp. and Arizona State University propose to research and develop Big Open Source Social Science (BOSSS). In BOSSS, we will create a unified approach that combines social and computer science methodologies to collect and interpret big open source data, yielding meaningful focused analysis of selected populations. We will develop a system framework that adaptively learns social behav ...

    STTR Phase I 2016 Department of DefenseArmy
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