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Award Data

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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. Laser-based in-situ, real-time imaging of Temperature in Detonation Environments

    SBC: EXMAT RESEARCH INC            Topic: DTRA19B001

    ExMat Research proposes to develop a hardened and cost-scalable laser-based temperature diagnostic system capable of spatially quantifying the localized temporal evolution of temperature in a detonation environment. During Phase I, we will attempt to determine the technical feasibility of the proposed concept. While ExMat Research will be guiding and overseeing the overall project, Washington Stat ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
  2. Development of Atomic Scale Tomography for Quantification of Radiation Induced Defects in Microelectronic Devices

    SBC: HUMMINGBIRD PRECISION MACHINE CO.            Topic: 20A001

    Dimensional and compositional metrology of small-scale microelectronics, less than 22 nm, is becoming increasingly difficult as the architecture of these devices is becoming more complex. Key metrological measurements of Fin devices require 3-D metrology at less than 0.5 nm spatial resolution as well as single atom characterization to identify device composition and chemical distributions. This is ...

    STTR Phase I 2020 Department of DefenseDefense Microelectronics Activity
  3. Improved Identification of the function of Novel and Partially Occluded Laboratory Equipment.

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: DTRA19B002

    This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
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