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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 6420 results
  1. 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
  2. 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
  3. High average current and high voltage reliable and stable power supplies for high current electron beam sources

    SBC: INNOSYS, INC.            Topic: C5523c

    Photoinjectors need very high voltage power supplies. There is a need for very high voltage power supplies that can be used for high voltage DC electron guns for accelerator applications. In particular, there are needs for developing a family of high average current and high voltage reliable and stable power supplies for electron beam sources and photoinjectors InnoSys proposes to perform fundamen ...

    SBIR Phase I 2023 Department of Energy
  4. 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
  5. Innovative high-volume low-cost manufacturing of conventional neutron supermirror beam guides, mirrors and filters for future large projects

    SBC: AMERICAN PHYSICS AND TECHNOLOGY LLC            Topic: C5511a

    In the next 5-10 years, the planned upgrades to the High Flux Isotope Reactor (HFIR) and the Spallation Neutron Source (SNS) nuclear scattering facilities at Oak Ridge National Laboratory (ORNL) will require kilometers of new neutron supermirror beam guides, mirrors, and filters. At the same time, an even larger amount of neutron optics will be required to build the new European Spallation Source ...

    SBIR Phase I 2023 Department of Energy
  6. Advanced tire tread simulation through adaptive isogeometric analysis

    SBC: Coreform LLC            Topic: C5501b

    Tire tread wear is the leading cause of pollution from cars - over 1000x larger than engine exhaust. Tires on electric cars wear out 20% faster on average because of increased torque and weight, so the impact of tire pollution will grow in significance as electric vehicles continue to grow in popularity. Simulation tools used for other aspects of tire and automotive design cannot accurately predic ...

    SBIR Phase I 2023 Department of Energy
  7. Low-loss thermomechanically stable packaging for cryogenic quantum photonic network devices

    SBC: MEMQ INC            Topic: C5504b

    C55-04b-270703The photonic approach to quantum information processing and networking is promising – it is expected that the quantum internet will be substantially built on optical fiber networks, where qubits can be exchanged over long distances via photons with wavelengths in the telecom range. The field of quantum photonics is continually developing and devices are being fabricated on scalable ...

    SBIR Phase I 2023 Department of Energy
  8. C55-11C FPGA-Based High-Rate, High-Resolution Imaging Acquisition and Processing Solution

    SBC: SEQUENT LOGIC LLC            Topic: C5511c

    C55-11c-270712Detector integrated circuits in modern neutron imaging systems output copious amounts data at high throughput – data are output too fast to efficiently store or interpret using standard processing and data acquisition systems. As larger detector arrays are fabricated, corresponding data throughput and required storage depths become untenable. To address this issue, a real-time acqu ...

    SBIR Phase I 2023 Department of Energy
  9. Generalizable Electrocatalyst Design Framework Combining Multi-Modal Data and Artificial Intelligence

    SBC: Stoicheia, Inc.            Topic: C5505a

    C55-05a-270716Deep decarbonization is urgently needed across the board to solve the climate crisis. While carbon emissions associated with electricity production have reduced significantly over the past decade due to a precipitous decline in solar, wind, and battery costs, several sectors including chemicals and industrial transportation remain hard- to-abate. Specifically, by shifting chemical an ...

    SBIR Phase I 2023 Department of Energy
  10. Context-aware Neural-accelerated Visualization Pipeline for Big Volumetric Data

    SBC: Metascape L.L.C.            Topic: C5505a

    The emergence of multiteraflop machines with thousands of processors for scientific computing combined with advanced sensory-based experimentation has heralded an explosive growth of structured and unstructured data in science and engineering fields. Such scientific endeavors require powerful visualization workflows as a fundamental step to understanding and interpreting big data. An ideal data vi ...

    SBIR Phase I 2023 Department of Energy
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