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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. Modeling and Development of Conformal Metamaterials for Wideband EMI Shielding

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: DTRA103004

    U.S. military communications and weapons systems are reliant on electronics systems that are highly sensitive to external electromagnetic (EM) threats, whether from intentional or environmental sources. In order to protect from these external EM threats, high levels of electromagnetic interference (EMI) shielding are required. Significant advances in materials technology and manufacturing, howev ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  2. HybridSil Nanocomposite Potting Materials for Next Generation Precision Munitions

    SBC: NANOSONIC INC.            Topic: DTRA112001

    The objective of this SBIR program is to adapt NanoSonic"s high temperature, ballistic resistant HybridSilTM nanocomposites for use as next generation potting materials with exceptional thermal durability, g-force resilience, and negligible variation (

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  3. Adaptable Multi-Layer Inference System for Distributed Sensor Networks

    SBC: ADAPTIVE METHODS, INC.            Topic: DTRA112002

    Adaptive Methods and Applied Research Laboratory at Penn State are developing a hierarchical inference approach for multi-modal unattended ground sensor (UGS) networks. that will enable significant performance gains via integrated machine learning techniques, to include In situ performance characterization and automated adaptation to site-specific environmental characteristics; unsupervised learni ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  4. Enhanced Beta-Batteries: A Long Life Power Source for Sensors Monitoring WMD Materials

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA102004

    OBJECTIVE: To provide innovative technologies and system components which increase the lifetime and utility of various systems within DTRA"s Tag, Track, and Locate (TTL) portfolio to combat weapons of mass destruction (WMD). The specific innovations sought under this topic are improved technologies that advance the state of the art for energy scavenging or capture from the ambient environment an ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  5. SNAPSHOT: A System for Predicting Human Physical Traits from Sample DNA

    SBC: PARABON NANOLABS, INC.            Topic: DTRA102007

    OBJECTIVE: Develop a Forensic DNA Analysis Kit for Genetic Intelligence that can be used on unknown human DNA samples collected from the battlefield to provide information about the individual who deposited the sample, such as potential ethnicity, height, eye color, hair color, age, sex, and/or facial features. The kit should leverage Short Tandem Repeats (STR), Single Nucleotide Polymorphisms (S ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
  6. Numerical Model of Subsurface Transport of Noble Gases in Fractured Geologic Media for Detection and Identification of Subsurface Nuclear Explosion Te

    SBC: MODERN TECHNOLOGY SOLUTIONS, INC.            Topic: DTRA111002

    Surface detection of specific radioisotopes of the noble gases xenon and argon are essential for detection and discrimination of underground nuclear explosions. We propose a unique combination of numerical modeling and stable isotope release experiments to enhance the predictability of subsurface transport of the noble gases of interest. Our proposed research will identify and quantify the physi ...

    SBIR Phase I 2011 Department of DefenseDefense Threat Reduction Agency
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