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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.

Displaying 1 - 10 of 3812 results
  1. A High Channel Density Digital Acquisition System

    SBC: PACIFIC MICROCHIP CORP.            Topic: C5522a

    Nuclear physics (NP) experiments require large channel count detectors to accurately monitor, or trace events induced by sub-atomic particles. Gamma- and X-ray imaging and spectroscopy instruments are frequently utilized to detect, localize, and characterize nuclear materials, photons, or particles of light. These detector systems include a large number of simultaneously working detector elements. ...

    SBIR Phase I 2023 Department of Energy
  2. AC-LGAD silicon detectors with alternate gain layer for improved reliability

    SBC: EPIR, INC.            Topic: C5522c

    C55-22c-270318More stringent challenges, as required by future high energy physics experiments, require higher radiation tolerance and higher granularity to the silicon detectors. Recently developed precision timing detector technology based on silicon Low Gain Avalanche Diode (LGAD) although exhibits excellent timing performance, cannot attain 10 µm position resolution needed for advanced 4D det ...

    SBIR Phase I 2023 Department of Energy
  3. Applying Small footprint Borehole Electric and Magnetic Field Sensors for Geophysical Monitoring Networks

    SBC: PAULSSON, INC.            Topic: C5513c

    C55-13c-270336The Department of Energy’s (DOE’s) Carbon Storage program is focused on ramping up commercial scale carbon capture and geologic storage (CCUS) operations across the US to combat the release of CO2, a potent greenhouse gas responsible for global warming, into the atmosphere. Each one of these commercial scale operations will sequester greater than one metric megaton per year of CO ...

    SBIR Phase I 2023 Department of Energy
  4. Computer environment supporting biosystem design guided by machine learning

    SBC: BioSynthetic Machines, Inc            Topic: C5517a

    BioSynthetic Machines, Inc. (BSMI) is a Chicago, IL-based startup company launched in late 2021 with a goal to revolutionize design and engineering of the microorganisms for production of chemicals. We utilize the innovative machine learning (ML) and experimental methods of synthetic biology developed by the founders at Argonne National Laboratory and exclusively licensed to the company. Our proof ...

    SBIR Phase I 2023 Department of Energy
  5. HERON: Hydrological Enduring Remote Observation Network

    SBC: Arete Associates            Topic: C5516b

    Water management, stormwater control, and other flooding concerns present common and significant issues in many urban environments. As communities look to tackle issues related to urban flooding and streamflow, automated sensors that are low-cost and easy to install will be crucial to monitoring and restoration efforts. The unique challenges posed by urban stream monitoring require an innovative a ...

    SBIR Phase I 2023 Department of Energy
  6. Low-Cost Aerosol Size Distribution, Light Absorption, and Chemical Composition Instruments for Urban Monitoring Applications

    SBC: BRECHTEL MANUFACTURING, INC.            Topic: C5516a

    Our warming climate is amplifying environmental and human health problems in urban areas. Heat island effects, flooding, droughts, altered pollutant transport patterns, and human respiratory stress are examples of interactions between macro- and micro-climates that impact urban areas. The share of the global population living in cities is expected to rise to 80% by 2050, compared to 55% today. Emi ...

    SBIR Phase I 2023 Department of Energy
  7. Supporting Sparse Data in HDF5

    SBC: LIFEBOAT LLC            Topic: C5501a

    Sparse data is common in many scientific disciplines. Examples include large-scale simulations of physical phenomena, High Energy Physics experiments, machine learning applications, and many more. Acquired data is stored in a scientific data format that became a de facto standard for data management in government, academia and industry. As the amount of data in the scientific format continues to g ...

    SBIR Phase I 2023 Department of Energy
  8. Highly Efficient Low Loss Fiber-Chip Light Coupling for Quantum Networks

    SBC: HIGHRI OPTICS, INC.            Topic: C5504b

    Superconducting and photonic qubits are the leading platforms for quantum computation, now and for the foreseeable future, and will provide essential functionality to large-scale quantum networks. To achieve this, techniques are needed to coherently convert between the microwave states used by the qubits and optical states required for long-distance communication, a conversion that needs to occur ...

    SBIR Phase I 2023 Department of Energy
  9. Rad-Hard High-Dynamic-Range TEM Direct Detector

    SBC: DIRECT ELECTRON, L.P.            Topic: C5518a

    C55-18a-270598Although direct detection technology delivers substantially better image quality for transmission electron microscopy (TEM), its limited dynamic range and radiation sensitivity generally preclude its use for a variety of TEM applications. At present, direct detection is well-suited for biological cryo-EM, where illumination is relatively uniform and the electron exposure rate is limi ...

    SBIR Phase I 2023 Department of Energy
  10. Direct Real-Time GPU Access for Ultra-Fast Electron Microscopy Data

    SBC: DIRECT ELECTRON, L.P.            Topic: C5510a

    C55-10a-270599High-speed direct detection cameras have enabled a variety of experiments to probe structural dynamics in response to various stimuli. As microscope stages improve, it will become possible to capture these dynamics in three dimensions (3D) by repeatedly acquiring rapid continuous rotation tomography data. However, such data requires complex image processing to generate interpretable ...

    SBIR Phase I 2023 Department of Energy
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