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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. Variable Cell Blanket Sandwich Panel Technology

    SBC: Benecor, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1998 National Aeronautics and Space Administration
  2. Long Endurance Flight Schemes for UAVs

    SBC: KALSCOTT ENGINEERING INC.            Topic: A702

    A method for providing endurance enhancement for unmanned aerial vehicles based on atmospheric phenomena is presented. The proposed method allows the UAV to sense certain atmospheric phenomena, and adapt itself to exploit these phenomena. The Phase I effort consists of understanding the physics of such flight, and developing the control laws for enabling the UAV to exploit these atmospheric phenom ...

    SBIR Phase I 2004 National Aeronautics and Space Administration
  3. Reusable In Situ AirCore System for CO2 and Trace Gas Measurements

    SBC: KALSCOTT ENGINEERING INC.            Topic: S108

    A novel design for an in situ atmospheric sensor for CO2 and trace gases is proposed. The sensor, named AirCore, provides the advantages of existing in situ sensors (e.g. high resolution) but eliminates possible biases in analysis that often originate from imperfect measurement condition. The AirCore provides a significant savings in cost and weight while increasing the capabilities of existing ...

    SBIR Phase I 2009 National Aeronautics and Space Administration
  4. Commercial GIS Extension for Visualization of Large Unstructured Geospatial Data

    SBC: PROLOGIC, INC.            Topic: N/A

    The proposed innovation is new technology to enable the visualization of large unstructured geospatial datasets, such as LIDAR (LIght Detection And Ranging) data, within a commercial desktop Geographic Information System (GIS). The architecture first converts the raw LIDAR datasets into the newly approved LAS LIDAR data standard. The system then creates efficient spatial indexing mechanisms to eas ...

    SBIR Phase II 2004 National Aeronautics and Space Administration
  5. A Formal Method for Verification and Validation of Neural Network High Assurance Systems

    SBC: PROLOGIC, INC.            Topic: T101

    Our proposed innovation is to develop neural network (NN) rule extraction technology to a level where it can be incorporated into a software tool, we are calling NNRules, which captures a trained neural network?s decision logic and uses it as a basis for verification and validation (V&V) of the neural network. This formalism has never been attempted. The significance of the NNRules innovation is t ...

    STTR Phase I 2004 National Aeronautics and Space Administration
  6. Ultraviolet AlGaN-based Avalanche Photo Diode Grown over Single Crystal Bulk AlN Substrates

    SBC: Sensor Electronic Technology, Inc.            Topic: E101

    Premature breakdown is a key obstacle in developing AlGaN-based avalanche photo diodes (APD) for ultraviolet (UV) light detection. Novel materials growth techniques, such as Hydride Vapor Phase Epitaxy (HVPE) allows for reduction of dislocation density only to approximately 10^7 cm-2. In order to reduce the number of growth defects and dislocation density in AlGaN-based APDs we will use single cry ...

    SBIR Phase I 2004 National Aeronautics and Space Administration
  7. FIR Detectors/Cameras Based on GaN and Si Field-Effect Devices

    SBC: Sensor Electronic Technology, Inc.            Topic: S104

    SETI proposes to develop GaN and Si based multicolor FIR/THz cameras with detector elements and readout, signal processing electronics integrated on a single chip. The active detector elements will be submicron gated channels with 2 dimensional electron gas (2DEG). The devices with gated 2DEG (commonly known as field-effect transistors) respond to the incoming FIR radiation due to the rectificat ...

    SBIR Phase I 2009 National Aeronautics and Space Administration
  8. Carbon Foam Self-Heated Tooling for Out-of-Autoclave Composites Manufacturing

    SBC: TOUCHSTONE RESEARCH LABORATORY, LTD.            Topic: X406

    This proposal addresses NASA's need for non-autoclave composites manufacture. The Constellation program, including the Ares V launch vehicle, will require very large-scale structures and conventional autoclave-based composites which are very costly and suffer from logistical problems. Out of autoclave (OOA) composite manufacturing technology has the potential to solve the constraint issues of aut ...

    SBIR Phase I 2009 National Aeronautics and Space Administration
  9. High-Resolution Scanning of Sub-Surface Lunar Water with Mobile Neutron Energy Spectrometer

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: H2

    This proposal describes a mobile solid-state Neutron Energy Spectrometer (NES) for lunar soil moisture determination. Cosmic-ray interactions within the lunar soil will yield secondary neutrons and protons, among other particles. The produced neutrons will travel within the soil, scattering off of materials such as hydrogen. Interactions with hydrogen will greatly reduce the energy of the neutrons ...

    SBIR Phase I 2018 National Aeronautics and Space Administration
  10. Smart Fault Management (SFM)

    SBC: TMC TECHNOLOGIES OF WEST VIRGINIA CORP            Topic: S5

    The Phase I of the SBIR “Smart Fault Management” project aims to demonstrate how the fault management process can be innovated by exploiting concepts from a combination of well-established and emerging disciplines such as Bayesian Statistics, GPU-accelerated numerical simulations, Data Science, and Machine Learning that are disrupting the current status quo in many scientific and engineering f ...

    SBIR Phase I 2018 National Aeronautics and Space Administration
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