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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. Energy-Efficient Carbon Capture Processes with Adsorbents Displaying Non-Traditional Isotherms

    SBC: MOSAIC MATERIALS, INC.            Topic: 18d

    As atmospheric CO2 levels continue to rise, implementation of technologies for point source carbon emission (e.g. flue gas of coal-fired power plants) reductions are necessary for near-term carbon management strategies. Although current aqueous amine scrubbing technologies can achieve high levels of CO2 removal from flue gas, the thermal energy required reduces net plant power output by 20-35%, ma ...

    SBIR Phase I 2018 Department of Energy
  2. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Novel Low-Cost Heat Exchanger for High Temperature Molten Salts

    SBC: CLEAN ENERGY SYSTEMS, INC.            Topic: 30f

    Cost-effective, high temperature and corrosion resistant heat exchangers are a key enabling component for next generation nuclear power systems. In support of the DOE’s goals to develop advanced technologies for energy conversion systems, Clean Energy Systems, Inc. (CES) proposes the development and demonstration of a new and novel heat exchanger (HX) that offers the promise of meeting identifie ...

    SBIR Phase I 2018 Department of Energy
  5. Controllable 3D Manufacturing System

    SBC: POLARONYX INC            Topic: 30g

    Additive manufacturing (AM), esp. laser AM, becomes a powerful tool to replace conventional methods such as casting and hot spray, due to its cost effectiveness and capability of making complex structure and composition. However, there is lack of efficient ways to do pre-, in-, and post process detection of defects, cracks, surface roughness, and alloy composition, to make nuclear quality parts. S ...

    SBIR Phase I 2018 Department of Energy
  6. Data Ingestion, Analysis, and Situational Awareness Tool

    SBC: Physical Optics Corporation            Topic: 17a

    Power generation plants are increasingly vulnerable to malicious attacks from both from insider threats and cybercriminals. To prevent and mitigate cyber threats, plant operators should be able to recognize whether data from plant sensors, critical components, etc. are compromised. While there have been advancements in automated situational awareness tools for power distribution, no existing secur ...

    SBIR Phase I 2018 Department of Energy
  7. Intelligent Solar Energy Devices Cybersecurity System

    SBC: Physical Optics Corporation            Topic: 12b

    Deployment of the smart grid that relies on new intelligent technologies using two-way communications and Internet connectivity increases vulnerability of the grid to potential cyberattacks. Although many cybersecurity (detection or prevention) software tools have been developed, all of them have limitations and, thus, cannot deliver protection against cyberattacks in the smart grid. An advanced c ...

    SBIR Phase I 2018 Department of Energy
  8. Dielectrophoretic Enhancement of Dewatering

    SBC: Physical Optics Corporation            Topic: 06b

    The transition of cellulosic nanomaterials to pilot-scale production makes them feasible for use in a variety of industrial applications including oil and gas, wastewater treatment, electronics, and others. A significant hindrance for further advancement is the difficulty of drying these materials, and long distance shipping of them is not economical while they contain significant water content. O ...

    SBIR Phase I 2018 Department of Energy
  9. High Voltage Cooling system for High Dissipation Power GaN Transistors

    SBC: RADIABEAM SYSTEMS, LLC            Topic: 24a

    The beam deflector is among the key components of the Medium Energy Beam Transport (MEBT) of the Proton Improvement Plan-II (PIP-II). It will be driven by a high voltage (HV) switch currently under development at Fermilab. It is based on an array of field-effect switching transistors (FETs) operating at kV floating potentials and at as high as 30 MHz frequency. The transistors dissipate ~200 W/cm2 ...

    SBIR Phase I 2018 Department of Energy
  10. Superconducting Quarter-Wave Resonator for Quantum Information Systems

    SBC: RADIABEAM SYSTEMS, LLC            Topic: 29a

    Computers based on quantum-mechanical phenomena, if realized, could disrupt many computationally intense fields of science, including high-energy physics. One of the greatest challenges in building a quantum computer is improving the coherence of quantum states. High quality factor superconducting RF (SRF) resonators coupled to Josephson junctions are one of the most promising solutions. However, ...

    SBIR Phase I 2018 Department of Energy
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