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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. Energy and Velocity Analyzer for Distributions of Electric Rockets

    SBC: PLASMA CONTROLS, LLC            Topic: T2

    Plasma Controls, LLC (SBC) and Colorado State University (RI) will mature an energy and species plasma diagnostic for use with plasma thrusters. The combined Energy and Velocity Analyzer for Distributions of Electric Rockets, or the lsquo;E-VADERrsquo;, is needed especially for characterizing the plasma plume of Hall thrusters, where researchers desire to know ion energies and charged species frac ...

    STTR Phase I 2019 National Aeronautics and Space Administration
  2. TRACE – Target Recognition with the Assistance of Artificial Intelligence

    SBC: Intelligent Automation, Inc.            Topic: N18BT033

    Intelligent Automation Inc. (IAI) proposes the design and implementation of the Target Recognition with the Assistance of Artificial Intelligence (TRACE) system that incorporates classical model-based target classification and identification approaches with data-driven machine learning solutions to improve the target classification accuracy. The outcome of the TRACE systems is a set of machine lea ...

    STTR Phase I 2019 Department of DefenseNavy
  3. Carbon Nanotube-Based Heater Coatings for Processing of Thermosetting and Thermoplastic Composites

    SBC: MAINSTREAM ENGINEERING CORP            Topic: N18BT031

    For this research program, Mainstream will collaborate with Colorado State University (CSU) to develop a nanostructured heater capable of curing aerospace grade composites out-of-autoclave (OOA). The use of autoclaves is the primary cost driver in composite manufacturing due to size limitations, long processing times, and inefficient energy usage. Therefore, the Navy is looking to develop a nanost ...

    STTR Phase I 2019 Department of DefenseNavy
  4. 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
  5. Targeted Polymer Micelles for Treatment of Metastatic Melanoma

    SBC: INTEZYNE TECHNOLOGIES, INC.            Topic: NCI

    DESCRIPTION (provided by applicant): According to the American Cancer Society, half of all men and one-third of all women in the United States will develop cancer in their lifetime. While chemotherapy has dramatically improved the survival rate of cancer patients, it comes at the cost of severe toxicities and in some cases poor response rates. In order to address these shortcomings, equal investme ...

    STTR Phase I 2013 Department of Health and Human ServicesNational Institutes of Health
  6. Compact Waste Heat Recovery Power Generation System

    SBC: SPECTRAL ENERGIES LLC            Topic: N19AT013

    The STTR topic N19A-T013 seeks innovative technology to improve the power density and efficiency of propulsion and power generation devices. To address this challenge, Spectral Energies in collaboration with its academic partner Dr. Rory Roberts at Wright State University proposes to develop a compact heat recovery system based on a supercritical CO2 based Rankin Cycle. At the end of the STTR prog ...

    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. Process to Mitigate Catastrophic Optical Damage to Quantum Cascade Lasers

    SBC: IRGLARE LLC            Topic: N19AT004

    The development of a catastrophic optical damage model for quantum cascade lasers describing instantaneous laser damage at high optical power levels is proposed. The model will be validated by comparison to experimental data. Based on obtained results, changes to laser design and laser fabrication resulting in an increased damage threshold will be implemented. The work will ultimately result into ...

    STTR Phase I 2019 Department of DefenseNavy
  9. High Speed Spinning Scroll Expander (HiSSSE)- Organic Rankine Cycle for Increased Naval Ship Power Density and Fuel Efficiency

    SBC: Air Squared, Inc.            Topic: N19AT013

    Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Forensic Models of Cyberspace Behaviors

    SBC: INTELLIGENESIS LLC            Topic: N19AT021

    Our solution will provide an automated system driven by advanced analytics and machine learning techniques to capture network traffic (including potential malicious events), perform forensic analysis of the events to identify threat actor tactics, techniques, and procedures (TTPs), create a database of classified events and TTPs (threat models) from which connections can be made between events, ac ...

    STTR Phase I 2019 Department of DefenseNavy
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