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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 13180 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. UVDAT: Urban Visualization and Data Analysis Toolkit

    SBC: KITWARE INC            Topic: C5516c

    High concentrations of underserved populations with low social capital in urban areas, along with assets and ecosystems in vulnerable zones, present high risks of cascading failures and expected loss of lives and property. A key gap is the lack of urban models that can help to address and visualize threats, especially under a changing climate and with growing urbanization and “coastalization” ...

    SBIR Phase I 2023 Department of Energy
  3. High Channel Density Digital Data Acquisition System

    SBC: KLIMA JOANNA            Topic: C5522a

    C55-22a-270353The DOE Office of Nuclear Physics (NP) seeks new developments in detector electronics with significantly improved energy, position, timing resolution, sensitivity, rate capability, stability, dynamic range, and background suppression. Applications are sought to develop high channel density (>=256 channels/board) digital data acquisition system with >= 100 MSPS, >=12 bit ADC informati ...

    SBIR Phase I 2023 Department of Energy
  4. Elastic Emission Machining of Optics for Structural Biology Imaging using Fluid Jet Polishing

    SBC: OPTIPRO SYSTEMS, LLC            Topic: C5518a

    C55-18a-270355Synchrotron light sources have continuously and impressively grown in brightness and beam quality since their inception in 1947 at General Electric in upstate New York [1]. Indeed, we are at the point where X-ray synchrotron light sources have been optimized to the Diffraction Limit and Free Electron Lasers (FEL) have been fully developed. Nonetheless, ongoing manufacturing and metro ...

    SBIR Phase I 2023 Department of Energy
  5. 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
  6. 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
  7. A high-power positron converter based on a recirculated liquid metal in-vacuum target

    SBC: XELERA RESEARCH LLC            Topic: C5523c

    An effective high power positron converter for electron Linacs is not currently available from industry. A commercial source allows the nation's research institutes to have ready access to high brightness positrons for a wealth of material science, nuclear, particle, and accelerator physics projects. Improving the efficiency of the converter target will allow these projects to proceed without in-h ...

    SBIR Phase I 2023 Department of Energy
  8. 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
  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. AI-Guided, Multi-Modal, Multi-Scale (AIM3S) Anomaly Detection in Multi-Dimensional STEM/EELS

    SBC: SIVANANTHAN LABORATORIES, INC.            Topic: C5314b

    C53-14b-271071The increasing data rates in conventional and scanning transmission electron microscopy, afforded by the developments of faster detectors and novel in-situ methods, requires automation of post- acquisition data analysis and, ideally, identification of regions of interest during experimental data acquisition. The overarching objective of this program is to leverage a suite of cutting- ...

    SBIR Phase II 2023 Department of Energy
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