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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. RADIATION HARD X-RAY GAMMA AND NEUTRON DETECTORS

    SBC: Applied Research LLC            Topic: N/A

    APPLIED RESEARCH CORPORATION (ARC) PROPOSES TO DEVELOP A NEW CLASS OF SOLID-STATE PARTICLE/RADIATION DETECTORS. USING CRYOGENIC TECHNIQUES, ORDER-OF-MAGNITUDE IMPROVEMENTS IN THE MAXIMUM TOLERABLE RADIATION DOSE ARE EXPECTED; A RADIATION DOSE OF 100 MEGARAD SHOULD NOT DESTROY THE DETECTOR CAPABILITIES. THE DETECTOR PROVIDES EXCELLENT PROTECTION AGAINST ELECTROMAGNETIC AND RADIATION EFFECTS WHICH M ...

    SBIR Phase I 1987 Department of DefenseDefense Threat Reduction Agency
  2. MICROCOMPUTER VISUALIZATION OF NUCLEAR CLOUD MODELS

    SBC: Virtual Image Laboratorys Inc.            Topic: N/A

    THE PROPOSED EFFORT WILL SEEK TO DEMONSTRATE THE UTILITY OF MICROCOMPUTER VISUALIZATION AS AN EFFECTIVE AND LOW-COST VALIDATION, DIAGNOSTIC AND PRESENTATION TOOL FOR 3D MODELS.THE APPROACH WILL BE TESTED USING TASS 3D CLOUD SIMULATION OUTPUT, BUT THE METHODS DEVELOPED WILL BE APPLICABLE TO A WIDE VARIETY OF 3D MODELS. IN PHASE I, THE PROPOSER WILL (1) CHOOSE THE TECHNOLOGY FOR HANDLING THE TRANSFE ...

    SBIR Phase II 1992 Department of DefenseDefense Threat Reduction Agency
  3. Autonomous navigation through small, confined spaces

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: DTRA182002

    As more of our enemies expand the number and complexity of their underground facilities, the need to improve the tools that provide consistent situational awareness (SA) increases accordingly. For complex missions such as these, we require a family of systems (FoS) that have different capabilities, and can address various mission needs. Robotic Research proposes creating a unique, small platform ( ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  4. A Deep Learning Approach for Enhanced Discrimination of Nuclear Weapons Testing

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    Seismic, hydro acoustic, and infrasonic (SHI) analyses possess many desirable properties, such as long-distance wave propagation and attributable spectral characteristics. They have been, by large, relegated to capturing massive explosions, earthquakes, bolides, and space-bound rocket launches. Although machine learning techniques have been employed on various military and commercial projects, rar ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  5. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: DFR SOLUTIONS, LLC            Topic: DTRA162006

    The increasing complexity of devices, reduced budgets and accelerated program timelines, requires a new approach to predicting radiation of integrated circuit (IC) designs. Most approaches to date require gate level analysis and do not scale easily to device level calculations, leading to methods that are note practical under most program timeline and cost budgets. Previously, DfR Solutions has de ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
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