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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.

Displaying 205051 - 205060 of 207712 results
  1. Novel Liner for Algal Biofuel Production

    SBC: GLOBAL ALGAE INNOVATIONS, INC            Topic: 08c

    A successful algal industry would be transformative in the US. The very high productivity of algae relative to land plants will drive massive job creation in rural areas, provide biofuel and biopolymers to reduce dependence on foreign sources of oil, reduce fertilizer run-off with its corresponding water quality impairment, reduce greenhouse gas emissions, and enable use of currently underutilized ...

    SBIR Phase I 2019 Department of Energy
  2. Development of Production Strains of Chlamydomonas using Breeding Technologies

    SBC: GLOBAL ALGAE INNOVATIONS, INC            Topic: 08c

    In order to make large scale commercial production of microalgae based commodity food and fuel products, significant strides in algal productivity need to be achieved. With current regulatory guidelines, large scale outdoor cultivation of microalgae for these products restricts the use of transgenic algal strains, which in the laboratory thus far have been the primary strategy taken to effectively ...

    STTR Phase II 2019 Department of Energy
  3. Algae Production for Aquaculture Feed

    SBC: GLOBAL ALGAE INNOVATIONS, INC            Topic: 87

    This project will support the expansion of the domestic aquaculture industry through developmentof algae aquafeed ingredients.Successful completion will increase the production of algae a typeof aquaculture and will increase the availability of affordable sustainable feed for expansion of ourdomestic fish and shellfish aquaculture industries.Feed is the largest and most important component to ensu ...

    SBIR Phase II 2019 Department of Agriculture
  4. Development of algae-based non-isocyanate polyurethanes

    SBC: GLOBAL ALGAE INNOVATIONS, INC            Topic: C5412a

    A successful algal industry would be transformative in the US. The very high productivity of microalgae relative to land plants will drive massive job creation in rural areas, provide biofuel and bioproducts to reduce dependence on foreign sources of oil, reduce fertilizer run-off with its corresponding water quality impairment, reduce greenhouse gas emissions, and enable use of currently underuti ...

    SBIR Phase I 2022 Department of Energy
  5. Bounding generalization risk for Deep Neural Networks

    SBC: EULER SCIENTIFIC            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  6. Constrained Tomography with Under-Sampled Projections

    SBC: EULER SCIENTIFIC            Topic: A22BT006

    Inspection is central to maintaining the quality of products both during manufacturing and in storage. Non-destructive inspection of the internals of a product often requires imaging of the product by particles with low interaction cross section, such as X-rays. In Computed Tomography (CT), the 3D image is reconstructed using measurements of transmission using a large number of angles (projections ...

    STTR Phase I 2022 Department of DefenseArmy
  7. Bounding generalization risk for Deep Neural Networks

    SBC: EULER SCIENTIFIC            Topic: NGA20A001

    Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...

    STTR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  8. Low Coherence, Spectrally Modulated, Spherical Wavefront Probe for Nanometer Level Free-Form Metrology

    SBC: APRE INSTRUMENTS INC            Topic: S204

    To-date free-form optic manufacture is limited due to inadequate metrology to measure surfaces with free-form and conformal shapes, with large surface slopes and to the required measurement uncertainty. In this proposal we describe a new interferometric non-contact probe capable of measuring free-form optics with nanometer sensitivity. The probe has favorable metrology characteristics and uses a ...

    SBIR Phase I 2015 National Aeronautics and Space Administration
  9. Low Coherence Wavefront Probe for Nanometer Level Free-Form Metrology

    SBC: APRE INSTRUMENTS INC            Topic: S204

    We propose an innovative, low coherence probe for rapid measurement of free-form optical surfaces based on a novel method of spectrally controlled interferometry. The key innovations are the use of a new interferometric modality and a novel non-contact optical probe that together measure high surface slope acceptance angles to nanometer sensitivity. When the probe is integrated with a precision mo ...

    SBIR Phase I 2016 National Aeronautics and Space Administration
  10. Low Coherence Wavefront Probe for Nanometer Level Free-Form Metrology

    SBC: APRE INSTRUMENTS INC            Topic: S204

    We propose an innovative, low coherence probe for rapid measurement of free-form optical surfaces based on a novel method of spectrally controlled interferometry. The key innovations are the use of a new interferometric modality and a novel non-contact optical probe that together measure high surface slope acceptance angles to nanometer sensitivity. When the probe is integrated with a precision mo ...

    SBIR Phase II 2017 National Aeronautics and Space Administration
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