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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. Discrete 3-D Electronics for Mobile Radiation Detection Systems

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: DTRA18B002

    Phase II will utilize knowledge gained from phase I work to develop and execute a manufacturing process suitable for producing quantities of 3-D printed discrete circuits for radiation detection systems.  The goal is to support mobile radiation detection system requirements for high voltage, analog amplification, and MCA functionality to produce differential pulse height spectra in time sequence. ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  2. DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph

    SBC: Intelligent Automation, Inc.            Topic: DTRA19B002

    Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large amount of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
  3. DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph

    SBC: Intelligent Automation, Inc.            Topic: DTRA19B002

    Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

    STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency
  4. Portable System with Li Foil MWPC Neutron Detectors

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: DTRA14B005

    At the completion of the research and development effort a Li foil multi-wire proportional counter (MWPC) neutron detector with more than 625 cm^2 of active area will be included in a portable radiation detection system. The system is expected to have an intrinsic thermal neutron detection efficiency of 55% or greater and gamma-ray rejection ratio (GRR) of 1.0x10^-8 or better. A gamma-ray spectrom ...

    STTR Phase I 2015 Department of DefenseDefense Threat Reduction Agency
  5. Portable System with Li Foil MWPC Neutron Detectors

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: DTRA14B005

    At the completion of the research and development effort a Li-foil multi-wire proportional counter (MWPC) neutron detector with more than 625-cm2 of active area will be included in a portable radiation detection system. The system is expected to outperform the standards set by the ANSI N42.53 standards, and gamma-ray rejection ratio (GRR) of 1.0x10-8 or better. A gamma-ray spectrometer for isotope ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  6. Production of Inactivated Vaccines Using Supralethal Irradiation

    SBC: BIOLOGICAL MIMETICS, INC.            Topic: DTRA14B002

    The discovery and commercial development of licensed vaccines often take many years of research followed by years of pre-clinical and clinical development. We propose to assess the feasibility of using a novel irradiation-inactivation technology to develop vaccines more rapidly. The technology utilizes a manganese-peptide complex to protect antigenic proteins from ionizing radiation while allowing ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  7. Production of Inactivated Virus Vaccines Using Supralethal Irradiation

    SBC: BIOLOGICAL MIMETICS, INC.            Topic: DTRA14B002

    We seek a proof-of-concept study for the development of a new platform technology for the rapid and complete inactivation of pathogen infectivity for vaccine development of medically important micro-organisms (e.g. viruses, bacteria and parasites). A recently discovered reconstituted Mn+2-decapeptide phosphate complex (Mn-Dp-Pi) of the radiation-resistant bacterium Deinococcus radiodurans was foun ...

    STTR Phase I 2015 Department of DefenseDefense Threat Reduction Agency
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