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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Scalable and User-friendly Computational Platform for SR2ML and LOGOS

    SBC: QUANTUM VENTURA INC            Topic: 39g

    The DOE’s Light Water Reactor Sustainability (LWRS) program has funded 2 software packages, LOGOS and SR2ML. One of the key goals of LWRS is to manage the aging of systems, structures, and components (SSCs) so nuclear power plants can continue to operate safely and cost-effectively. The Safety, Risk, Reliability Model Library (SR2ML) is a software package that contains a set of reliability model ...

    STTR Phase I 2021 Department of Energy
  2. A new medium field superconducting magnet for the EIC

    SBC: PARTICLE BEAM LASERS, INC            Topic: 37g

    Most superconducting accelerator magnets are presently based on a conventional “cosine theta” design. Typically, the magnet length vastly exceeds the aperture, and the loss in effective length from the ends (about a coil diameter in typical dipoles) is relatively small. However, for relatively short magnets such as those envisioned for the Interaction Region (IR) of the Electron Ion Collider ( ...

    STTR Phase I 2021 Department of Energy
  3. Terrestrial-aquatic isotope sensor for in-situ field measurements

    SBC: Opto-knowledge Systems, Inc.            Topic: 29aq

    Ecological and biogeochemical processes occurring along coastal interfaces are poorly understood on a mechanistic level and critically underrepresented in current models, impeding our ability to make informed resource management decisions. Stable isotope ratio measurements, e.g., 13C/12C, can provide detail about pathways and sources by adding specificity and attribution information that concentra ...

    STTR Phase I 2021 Department of Energy
  4. Quantum All-Optical Transponder (QOAT)

    SBC: Freedom Photonics LLC            Topic: 06a

    Quantum networks will be tasked with entangling physically separated quantum nodes and facilitating secure communication between distant parties. This necessitates the development of devices that can support high data rate transparent optical quantum networks that coexist with classical networks on a shared optical fiber transmission system. Freedom Photonics will develop a Quantum All-Optical Tra ...

    STTR Phase I 2021 Department of Energy
  5. Significant Improvement in Assessing Wellbore Integrity, Leveraged By Machine Learning

    SBC: Parthian Energy LLC            Topic: 24d

    We are suggesting a unique hybrid wellbore health estimation solution, based on combining finite element analysis with machine learning. The access to underground energy resources is mainly provided by wellbores. It is estimated that more than 90% of the US total energy supply depends on some form of wellbore and the number of wells drilled will continue to increase. Ensuring long term integrity i ...

    STTR Phase I 2021 Department of Energy
  6. Polarization Manipulation and Correction Device

    SBC: ADELPHI TECHNOLOGY INC            Topic: 29d

    At several workshops held at Oak Ridge National Laboratory (ORNL) over the past 5 years, members of several U.S. scientific communities stressed the need for an advanced capability for measuring slow molecular motions in complex fluids such as polymers and biomaterials. The technique preferred by these researchers is called Neutron Spin Echo (NSE). While there are two NSE spectrometers in the U.S. ...

    STTR Phase I 2021 Department of Energy
  7. Realtime Neuromorphic Cyber-Agents (Cyber-NeuroRT)

    SBC: QUANTUM VENTURA INC            Topic: 03a

    Cybersecurity in HPC environments operates at much larger scales than traditional IT domains and the traditional Machine learning networks are not fast enough to handle large volumes of computations. Neural networks combined with Edge-based hardware-resident next-generation technologies such as neuromorphic processors can monitor and even predict events in high throughput environments and hence pr ...

    STTR Phase I 2021 Department of Energy
  8. 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
  9. Development of Wakefield Accelerating Structures at Ultra-high Frequencies

    SBC: Radiabeam Technologies, LLC            Topic: 30c

    The development of a multi-TeV e+e- linear collider is a key priority set by the P5 panel, which established the long-term strategy of the U.S. HEP program. A Two-Beam Acceleration (TBA) is one of the most promising approaches for this facility due to its potential for achieving high efficiency and the ability to accelerate particles with positive and negative charges. However, there are still cha ...

    STTR Phase I 2020 Department of Energy
  10. An Advanced Simulation based 3D Framework and Toolkit for Fire Protection and Fire PRA

    SBC: CENTROID PIC INC            Topic: 37i

    At 10.8% Compound annual growth rate(CAGR), Fire Protection Systems Market Size is expected to reach 9.34 Bn USD by 2025. This however reflects only the systems but does not include the services, consultancy and other operator expenses incurred by the industry sectors impacted. Modeling and implementing fire safety for nuclear power plants is an expensive and complex activity. It is difficult to c ...

    STTR Phase I 2020 Department of Energy
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