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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. Flexible Low Temperature CO2 Capture System, E-CACHYS

    SBC: ENVERGEX LLC            Topic: 1

    This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...

    STTR Phase I 2020 Department of EnergyARPA-E
  2. Flexible Low Temperature CO2 Capture System, E-CACHYS

    SBC: ENVERGEX LLC            Topic: 1

    This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...

    STTR Phase II 2020 Department of EnergyARPA-E
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. SHAPE-BASED GENERALIZATION BOUNDS FOR DEEP LEARNING

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: NGA20A001

    We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  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. Biorecovery of Nutrients from Municipal Wastewaters with Co-production of Biofuels and Other Bioproducts

    SBC: MICROBIO ENGINEERING INC            Topic: 07a

    Nutrient pollution of lakes, estuaries, coastal areas and other water bodies frequently results in algae blooms, sometimes toxic, and often leading to anoxia, fish kills and dead zones. Efforts to reign-in nutrient pollution, in particular of phosphorus, P, have been lagging and noxious algae blooms make headlines almost daily all over the US and world. This is a problem attracting increasing atte ...

    STTR Phase I 2020 Department of Energy
  7. Expanding Access to Electronic Property Modeling in Scintillator Crystal Growth and Development

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: 03a

    The development of radiation detection materials would benefit with greater access to computational models that relate physical traits seen in manufacture with complex energy transitions occurring in the material that control operating performance. However, the HPC requirements behind these models remain beyond the reach of most businesses involved in this small yet vital field impacting National ...

    STTR Phase I 2018 Department of Energy
  8. User Location-Specific Data for Smarter Smart Grids

    SBC: ERIK PAGE & ASSOCIATES, INC.            Topic: 06b

    Society at large and DOE in particular have an interest in the continued development and refinement of a smart grid infrastructure that more efficiently and reliably matches electrical resources to demands. While technological advances in recent years have improved the smart grid, these advances have been limited by a lack of granularity of data (e.g. environmental conditions at multiple locations ...

    STTR Phase I 2018 Department of Energy
  9. Tip-based femtosecond multiphoton spectroscopy with radiative heating

    SBC: Laser Prismatics LLC            Topic: 10a

    One of grand challenges in nanoscience and nanotechnology is to achieve fundamental under- standing of the dynamic evolution of materials in actual operating environment, non-equilibrium conditions, or undergoing chemical reactions at the nanoscale. This requires forefront advances in imaging and analysis techniques that combine nanometer-scale spatial resolution, optical excitation and spectrosco ...

    STTR Phase I 2018 Department of Energy
  10. Ultrafast Electron Microscopy Module to Upgrade Existing Commercial Electron Microscopes

    SBC: Niowave, Inc.            Topic: 11a

    This project will develop a flexible longitudinal electron optical system based on high-precision radio-frequency cavities for short and intense electron bunch compressions, both in the energy and time domains. The proposed system is designed to be insertable into an existing transmission electron microscope column to upgrade its temporal resolution. Active phase-space control enables broad ranges ...

    STTR Phase I 2018 Department of Energy
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