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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. Generative Modeling of Multispectral Satellite Imagery

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: DTRA22D001

    This STTR Phase I project proposes novel deep learning models for generating realistic multi-spectral remote sensing imagery, specifically in the infrared (IR) and near-infrared (NIR) bands. The proposed system enables synthesis of semantically realistic imagery and provides parametric control of synthesizing objects-of-interest, type of terrain and land cover, time or season, weather, cloud cover ...

    STTR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  2. A Broadband and Compact Dual Comb Spectrometer for Precise Field Detection of Trace Elements and Chemicals

    SBC: OPTICSLAH, LLC            Topic: DTRA20B003

    There is a growing need to accurately characterize nuclear materials not only for nuclear safeguards and nonproliferation treaty verification but also for forensics and provenance. At present, nuclear material identification requires samples to be collected and sent to laboratories for analysis using large and expensive equipment, such as inductively coupled plasma mass spectrometers (ICP-MS) or s ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  3. Generative Modeling of Multispectral Satellite Imagery

    SBC: Applied Research In Acoustics LLC            Topic: DTRA22D001

    To address the challenge DTRA faces in identifying rare objects of interest to defeat improvised threat networks using multispectral imagery, small business ARiA and research institution Michigan Technological University (MTU) will develop and demonstrate the feasibility of the Generative Augmentation Process (GAP). The Phase I effort will (1) conduct a proof-of-concept study for GAP by developing ...

    STTR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  4. Large Multi-Modal Scintillators

    SBC: CAPESYM INC            Topic: DTRA22D002

    This work is focused on the development of fabrication technology for large form-factor scintillation crystals for multi-modal detection of radioactive sources, and development of mobile imaging and mapping instruments based on these large format scintillators.

    STTR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  5. Fast and Radiation Hard Scintillators for High Dose Detection

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA20B001

    The event of nuclear explosion generates harsh radiation conditions, evaluation of which is critical in protecting the military and civilian personnel from serious harm.  Due to these harsh conditions only very simple methods of radiation assessment are employed, such as measurement of equivalent dose.  Improvements to current instrumentation are sought that would provide energy resolved dose in ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  6. Large Form Factor Scintillators for Nuclear Battlefield Operations

    SBC: N.P. PHOTONICS, INC.            Topic: DTRA22D002

    The current state-of-the-art radiation detection materials have different drawbacks limiting their applications in the next-generation mobile radiation detection system. NP Photonics proposes to develop a novel scintillating glass that can be used to make large form-factor scintillators for nuclear battlefield operations. The proposed scintillating glass has the advantages of low cost, short decay ...

    STTR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  7. Synthetic Aperture Radar(SAR) Image Generation Data Augmentation

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: DTRA21B001

    Machine learning algorithms have demonstrated performance on par with or superior to human analysts on large datasets when sufficient training data is available.  For military applications obtaining sufficient, truthed data is always a challenge.  Three approaches have been used for measured data collections to support sensor exploitation programs: coordinated collections, turntable measurements ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  8. Hardened, Optically-Based Temperature Characterization of Detonation Environments

    SBC: SA PHOTONICS, LLC            Topic: DTRA19B001

    Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic which will enable wide dynamic range temperature me ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  9. Rugged Ultrafast Radiation Hard Scintillators for Nuclear Battlefield

    SBC: CAPESYM INC            Topic: DTRA20B001

    This program seeks to develop ultrafast, radiation hard, and rugged scintillators for nuclear battlefields based on high  melting-point temperatures oxide crystal. Doping, co-doping, and alloying schemes will be explored to reach the target of < 5ns decay time, light yield >1000 ph/MeV, moderate energy resolution

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  10. Phase II: In-field analysis of trace U and Pu by electrochemical pre-concentration

    SBC: AWAREABILITY TECHNOLOGIES, LLC            Topic: DTRA20B003

    The Defense Threat Reduction Agency (DTRA) needs a capability to collect and provide immediate presumptive analysis of radiological/nuclear samples of concern at the source of collection. Such in-field technologies should be capable of detecting and identifying trace quantities of elements and/or chemicals containing plutonium (Pu) and uranium (U), with a focus on chemicals specific to the nuclear ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
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