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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. 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. 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
  4. 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
  5. 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
  6. Semiconductor Device Simulation Software with Monte Carlo Based Thermal Transport Modeling

    SBC: ADVANCED COOLING TECHNOLOGIES INC            Topic: C5501b

    Current semiconductor device simulation software adopts Fourier’s law to perform the thermal transport modeling. However, Fourier’s law will become invalid at micro/nano-scale, which can cause a large discrepancy in the thermal and electrical performance between the simulation results and the actual application. To improve the current state-of-the-art, a new semiconductor device simulation sof ...

    SBIR Phase I 2023 Department of Energy
  7. 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
  8. Versatile, High-Density, High-Yield, Low-Capacitance 3D Integration for Nuclear Physics Detectors

    SBC: EPIR, INC.            Topic: C5333b

    C53-33b-271095Recently developed precision timing detector technology based on silicon Low Gain Avalanche Diode (LGAD) although exhibiting excellent timing performance, cannot attain 10µm position resolution needed for advanced 4D detectors. New small-pitch detector solutions are being developed which necessitates development of complimentary Application Specific Integrated Circuits (ASICs) and r ...

    SBIR Phase II 2023 Department of Energy
  9. Rapid and Tunable Cooling Technology for Vacuum Furnaces

    SBC: ADVANCED COOLING TECHNOLOGIES INC            Topic: C4918a

    C49-18a-271181The need for high-temperature furnaces for neutron scattering experiments has been increasing considerably. One of the major limiting factors of these furnaces is the cooling rate. Currently, the vacuum furnace relies on radiation to dissipate heat and takes at least 2 hours to cool the furnace low enough to safely open for a sample change. This results in significant limitations of ...

    SBIR Phase II 2023 Department of Energy
  10. Toward multi-threaded concurrency in HDF5.

    SBC: LIFEBOAT LLC            Topic: C5302a

    C53-02a-271303Open-source standard scientific software and hierarchical data format for data management is the de facto standard for scientific and engineering applications. It is widely used in large-scale simulations of physical phenomena, aircraft flight testing, high-speed neutron and X-ray detectors data acquisition, and many more. One of the known limitations of the software is a lack of mul ...

    SBIR Phase II 2023 Department of Energy
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