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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Naval Platform Aero-Optic Turbulence and Mitigation Methodology

    SBC: CLEAR SCIENCE CORP            Topic: N13AT001

    Clear Science Corp. and the University of Texas at Austin will develop and demonstrate technology that accurately quantifies aero-optical distortion associated with high-energy laser (HEL) weapons on rotorcraft and will utilize the information in designing adaptive optics (AO) systems to maximize HEL system performance over the full range of flight conditions. Aero-optical distortion arises from v ...

    STTR Phase I 2013 Department of DefenseNavy
  2. Naval Platform Aero-Optic Turbulence and Mitigation Methodology

    SBC: MZA ASSOCIATES CORP            Topic: N13AT001

    MZA partnered with the University of Notre Dame proposes to conduct high-fidelity computational fluid dynamics (CFD) simulations providing volumetric time-resolved aero-optical disturbance modeling for rotary-wing aircraft flow dominated by wing-tip vortices. We will develop detailed wave-optics models of a baseline Navy helicopter beam director including engineering-level simulations of the beam ...

    STTR Phase I 2013 Department of DefenseNavy
  3. Novel Development of an Intelligent Quench Detection (QD) Method for HTS Coils

    SBC: TAI-YANG RESEARCH COMPANY            Topic: N19AT016

    Energy to Power Solutions (e2P) has teamed with quench detection (QD) expert Dr. Yuri Lvovsky (retired GE), Dr. Sastry Pamidi of the Center for Advanced Power Systems (FSU-CAPS), and American Superconductor Corporation (AMSC) to design, fabricate, and test a robust, reliable, and low cost QD system. e2P’s proposed system is a vastly different quench avoidance system that will provide multiple le ...

    STTR Phase I 2019 Department of DefenseNavy
  4. On-Board Data Handling for Longer Duration Autonomous Systems on Expeditionary Missions

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: N13AT016

    This STTR Phase I project will demonstrate the feasibility and effectiveness of novel biologically-inspired computational memory models for on-board exploitation of long-duration sensor data streams to enable autonomous missions in unknown environments. The key innovation in this effort is a computationally and space-efficient computational memory model that is able to: i) handle long-duration dat ...

    STTR Phase I 2013 Department of DefenseNavy
  5. Optimized Higher Power Microwave Sources

    SBC: XL SCIENTIFIC LLC            Topic: N19AT001

    Verus Research and the University of New Mexico (UNM) are pleased to respond to the Navy Phase I STTR solicitation N19A-T001 titled “Optimized Higher Power Microwave Sources.” Verus Research, in collaboration with UNM, propose to develop a GW-class, S-band, high power microwave (HPM) source to integrate in vehicle and vessel stopping systems. Our integrated approach ensures the objectives for ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Out-of-Oven Aerospace Composites

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: N18BT031

    Large aerospace composite structures currently require autoclaves and ovens to achieve desired performance which are expensive to purchase, costly to operate, and often limit part size and production rate. Ovens and autoclaves rely on convective heating which is inefficient, consumes large amounts of energy, and can be difficult to predict. Alternative cure processes using external heaters or hot ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Power-Dense Electrical Rotating Machines for Propulsion and Power Generation

    SBC: CONTINUOUS SOLUTIONS LLC            Topic: N19AT007

    The primary objective is to develop electric machine/drive topologies and power architectures that achieve the power densities required for 50% more power without the increase in weight or space requirements. In addition to PMSM-based designs, two new machine topologies will be considered. The first is a trapped flux coreless (TFC) machine that utilizes superconducting pucks made of YBCO to produc ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Power Dense Turbo-Compression Cooling Driven by Waste Heat

    SBC: MANTEL TECHNOLOGIES, INC.            Topic: N19AT013

    The U.S. Navy seeks methods to improve the fuel economy of marine diesel engines through utilization of waste heat. Low temperature engine jacket water, lubrication oil, and aftercooler air are largely untapped streams of thermal energy on these ships, but their utilization circumvents many operation challenges associated with exhaust gases. For example, variable and high exhaust gas temperatures ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Predictive Graph Convolutional Networks- 19-008

    SBC: METRON INCORPORATED            Topic: N19AT017

    Metron and Northeastern University propose to design, develop, and validate a proof-of-concept predictive Graph Convolutional Network (GCN) capability using open source Reddit and GDELT data. We propose: (1) to extract and preprocess open-source Reddit and GDELT data, (2) to design a predictive graph convolutional neural network model, (3) to implement and train that model, and (4) to validate the ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Probabilistic Prediction of Location-Specific Microstructure in Turbine Disks

    SBC: SCIENTIFIC FORMING TECHNOLOGIES CORPORATION            Topic: N10AT028

    While there are established methods available in determining the fatigue life of critical rotating components, there is still room for improvement for better understanding and prediction of life limiting factors. Improved risk assessment of jet engine disk components would require probabilistic modeling capability of the evolution of microstructural features, residual stresses and material anomali ...

    STTR Phase I 2010 Department of DefenseNavy
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