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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. Integrated Risk Management and Quality Assurance

    SBC: Accident Prevention Group            Topic: N/A

    N/A

    SBIR Phase I 1995 Nuclear Regulatory Commission
  2. Extending the Dynamic Flowgraph Methodology (DFM) to Model Human Performance and Team Effects

    SBC: ASCA, INC.            Topic: N/A

    N/A

    SBIR Phase I 1995 Nuclear Regulatory Commission
  3. Development of Self-Repairing Concrete Containers of Radioactive Waste Using Superelastic Reinforcement

    SBC: DPD, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1995 Nuclear Regulatory Commission
  4. Development of a Performance Assessment Process Controller

    SBC: Innovative Tech. Solutions            Topic: N/A

    N/A

    SBIR Phase I 1995 Nuclear Regulatory Commission
  5. A REMOTE LASER INSPECTION SYSTEM FOR NUCLEAR REACTOR COMPONENTS

    SBC: Metrolaser, Inc.            Topic: N/A

    THE DAMAGE FROM OPERATING STRESSES, AGING, AND ENVIRONMENT ACT TO MODIFY THE VIBRATIONAL MODAL PATTERNS OF NUCLEAR REACTOR COMPONENTS. WE PROPOSE TO EVALUATE THE FEASIBILITY OF APPLYING HOLOGRAPHIC TECHNIQUES FOR MONITORING AND QUANTIFYING THESE PATTERNS. THESE MEASUREMENTS COULD BE PERFORMED REMOTELY AND WITH MINIMUM DISRUPTION OF PLANT OPERATIONS. THE APPLICATION OF HOLOGRAPHY TO AUGMENT THE USE ...

    SBIR Phase I 1991 Nuclear Regulatory Commission
  6. ANALYSIS AND TRAINING OF AN ARTIFICIAL NEURAL NETWORK NETWORK NUCLEAR POWER PLANTACCIDENT DIAGNOSTIC ADVISOR

    SBC: Netrologic, Inc.            Topic: N/A

    THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP AN ARTIFICIAL-INTELLIGENCE FAULT-DIAGNOSTIC SYSTEM THAT WILL CLASSIFY, IN REAL-TIME, NUCLEAR POWER PLANT TRANSIENTS AND PROVIDE ERROR BOUNDS ON ITS DIAGNOSES. THE GOAL IS TO DEVELOP AN ARTIFICIAL NEURAL NETWORK (ANN) PARADIGM THAT IS CAPABLE OF NOT ONLY PROVIDING A PROPER CLASSIFICATION BUT ALSO GIVING A FIGURE OF MERIT FOR ITS ANSWER. THE PROPO ...

    SBIR Phase I 1991 Nuclear Regulatory Commission
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