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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. Acoustically/Vibrationally Enhanced High Frequency Electromagnetic Detector for Buried Landmines

    SBC: AKELA INC            Topic: A16AT004

    Laboratory investigations have suggested that acoustically or vibrationally inducing motion in buried targets can aid in improving target detectability through a characteristic response related to differential target motion. This gain is realized by adding an additional degree of freedom, modulation due to motion in the GPR return signal, to use as a discriminating feature. The AKELA team is propo ...

    STTR Phase I 2016 Department of DefenseArmy
  2. Advanced Computational Algorithms for Simulating Weapon-Target Interaction

    SBC: ACTA, LLC            Topic: N/A

    This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. Car ...

    STTR Phase I 2003 Department of DefenseArmy
  3. An Ultra-Compact Low-Power THz Radio SoC with On-Chip Antenna and Energy Harvesting

    SBC: Digital Analog Integration, Inc.            Topic: A15AT005

    There is an unmet demand for ultra-low-power, ultra-compact and low-cost radios to address emerging sensing and communication needs for military and commercial applications such as IoT/IoE. To overcome the limitations in existing bulky and power hungry radios, we propose a disruptive solution by integration of a nano-scaled THz transceiver, on-chip antenna, and energy harvesting circuits in a form ...

    STTR Phase II 2016 Department of DefenseArmy
  4. Detection of Liquids on Surfaces using Long Wave Infrared Hyperspectral Imaging Spectroradiometer

    SBC: Pacific Advanced Technology, Inc.            Topic: N/A

    Chemical warfare agents with their low vapor pressure can stay on a surface for long periods of time and pose a serious threat to anyone coming into contact with the surface. A standoff sensor that can visualize and identify such a threat is of greatinterest to the US military.Pacific Advanced Technology (PAT) has a technology with the capability of standoff detection and the potential for identif ...

    STTR Phase II 2003 Department of DefenseArmy
  5. Detection of Liquids on Surfaces using Long Wave Infrared Hyperspectral Imaging Spectroradiometer

    SBC: Pacific Advanced Technology, Inc.            Topic: N/A

    Chemical warfare agents with their low vapor pressure can stay on a surface for long periods of time and pose a serious threat to anyone coming into contact with the surface. A standoff sensor that can visualize and identify such a threat is of greatinterest to the US military.Pacific Advanced Technology (PAT) has a technology with the capability of standoff detection and the potential for identif ...

    STTR Phase I 2003 Department of DefenseArmy
  6. Electronically Tunable High-Power Infrared Lasers for Standoff Detection Applications

    SBC: Pranalytica, Inc.            Topic: A14AT015

    In response to the Army STTR Topic A14A-T015 solicitation for tunable high-power LWIR lasers for standoff detection applications, Pranalytica proposed to develop a compact, rugged and highly reliable wavelength tunable quantum cascade laser (QCL) module delivering over 5W of peak power and over 0.5W of average power in the spectral region spanning from 7 to 11m. The proposed approach is based on a ...

    STTR Phase II 2016 Department of DefenseArmy
  7. Energy Harvesting Fabric

    SBC: STREAMLINE AUTOMATION LLC            Topic: A15AT017

    A human produces more than 100 Watts of waste heat during normal activity. If a fraction of this heat energy can be harvested it can replace the stored chemical energy in one or more of the batteries typically carried by soldiers in the field. The current generation batteries, such as the BB2590 are bulky and rigid. The PowerFelt material developed by Wake Forest University is ideally suited for h ...

    STTR Phase I 2016 Department of DefenseArmy
  8. Enhanced Backscattering of Electromagnetic Radiation for Target Tracking

    SBC: SURFACE OPTICS CORP.            Topic: N/A

    Surface Optics Corporation (SOC) teamed with the University of California, Irvine, proposes an exploratory study aimed at the development of an inexpensive portable optical tagging system with smart retro-reflective tag, encoding, and sensors needed fortracking and identification of U.S. military assets. The encoded tag can be either affixed to, or printed onto, military vehicles. Cost effective ...

    STTR Phase I 2003 Department of DefenseArmy
  9. Generalized Linear Mixed-Effects Models in R

    SBC: TOYON RESEARCH CORPORATION            Topic: N/A

    The University of Wisconsin and Toyon Research Corporation propose developing a software package in the R statistical environment for estimating generalized linear mixed-effects models (GLMMs) from multilevel, categorical data (e.g., binary, ordinal ormultinomial data). The proposed software package should enable data analysts and researchers to more accurately model and understand this type of su ...

    STTR Phase II 2003 Department of DefenseArmy
  10. Generalized Linear Mixed-Effects Models in R

    SBC: TOYON RESEARCH CORPORATION            Topic: N/A

    The University of Wisconsin and Toyon Research Corporation propose developing a software package in the R statistical environment for estimating generalized linear mixed-effects models (GLMMs) from multilevel, categorical data (e.g., binary, ordinal ormultinomial data). The proposed software package should enable data analysts and researchers to more accurately model and understand this type of su ...

    STTR Phase I 2003 Department of DefenseArmy
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