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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. Robust Mission and Safety Critical Li-Ion BMS for Aerospace Applications

    SBC: Space Information Laboratories, LLC            Topic: N15AT001

    Space Information Labs (SIL) and South Dakota State University (SDSU) have teamed to provide Navy an innovative, but also producible, approach to a robust mission and safety critical Li-Ion battery man-agement system across Navy platforms to include aircraft, helicopters, UAS, missiles and directed energy weapons. SILs modular and scalable Li-Ion Intelli-Pack battery system will be designed to fro ...

    STTR Phase I 2015 Department of DefenseNavy
  2. High Fidelity Rotorcraft Towing Modeling and Simulation with Towed Magnetic Anomaly Detection System

    SBC: ADVANCED ROTORCRAFT TECHNOLOGY, INC.            Topic: N15AT009

    Towing of a Magnetic Anomaly Detection (MAD) system is an important aspect of rotorcraft maritime operation in support of Anti-Submarine Warfare (ASW). The vibratory rotary wing platform combined with the long and flexible towing cable, the low mass ratio of the towed body to the total mass (the sum of the tow body and the towing aircraft), and the rotor downwash impingement on the towed body duri ...

    STTR Phase I 2015 Department of DefenseNavy
  3. Reliable Manufacturing of Scandia-Doped Tungsten Powders for Thermionic Cathodes

    SBC: NGIMAT, LLC            Topic: N15AT010

    In this STTR effort nGimat will partner with the University of Kentucky to develop a new process for manufacturing scandia-doped tungsten powder for use in vacuum tube cathode devices. While a significant amount of research over the last several decades has shown promise for scandate cathode materials, reliable manufacturing processes that enable commercialization of this technology have remained ...

    STTR Phase I 2015 Department of DefenseNavy
  4. Novel Approach to Hybrid High Temperature Superconducting Cable

    SBC: TAI-YANG RESEARCH COMPANY            Topic: N15AT016

    To handle the so-called black start fault contingency, Energy to Power Solutions proposes the use of a novel hybrid cable design. The cable would be designed to handle the full 100 % electric power load under normal operating and battle conditions (i.e. a fully/partially functioning cryogenic cooling system operating at cryogenic temperatures ~ 50-60 K), and capable of handling 30 % of the rated p ...

    STTR Phase I 2015 Department of DefenseNavy
  5. In Situ Inspection of Additive Manufactured Metallic Parts Using Laser Ultrasonics

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: N15AT008

    Additive manufacturing (AM) is a very promising technique for rapid, low-cost production of aircraft parts directly from a CAD file. AM is especially appealing for complex parts that would be costly or impossible to fabricate by machining or casting. At the current time there are no reliable, cost-effective techniques to qualify the finished parts. Several government studies have noted this gap an ...

    STTR Phase I 2015 Department of DefenseNavy
  6. Eye-readable Solution-based Dye Displacement Probe for Large-area Detection of Opioids

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: CBD20AT001

    Intelligent Optical Systems, Inc., in collaboration with Bowling Green State University, proposes to develop a field-rugged, eye-readable indicating spray solution that can immediately detect synthetic opioids over a large area of contamination (i.e., military vehicles, individual protective equipment, clandestine labs, etc.). The proposed chemosensor in a spray solution format will detect multipl ...

    STTR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense
  7. High Efficiency Propeller for Small Unmanned X Systems using Advanced Composite Materials

    SBC: CATTO PROPELLERS            Topic: N20AT006

    In the proposed STTR study, Catto Propellers, Inc. (Catto) and the University of North Dakota (UND) will create an efficient new propeller design utilizing advanced composite materials for use on small unmanned x systems.  During Phase I, a comprehensive study will be conducted to develop a new propeller design in order to increase propeller efficiency, reduce aerodynamic noise and utilize innova ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Compact Air Compressor for Aircraft Active Flow Control

    SBC: CANDENT TECHNOLOGIES INCORPORATED            Topic: N21AT017

    Active Flow Control (AFC) systems require a compressed air source.  Candent is proposing to use its extensive turbomachinery experience and technology to design a high efficiency air compressor with proper flow and pressure ratio to meet the STTR requirements, including expected operational environments (ambient air temperature and pressure, sand and dirt). Candent will utilize its advanced compr ...

    STTR Phase I 2021 Department of DefenseNavy
  9. Accelerated Burn-In Process for High Power Quantum Cascade Lasers to Reduce Total Cost of Ownership

    SBC: ADTECH PHOTONICS, INC.            Topic: N20BT029

    Quantum Cascade Lasers (QCLs) are one of the most versatile sources of radiation in the mid-infrared range and have found applications in a variety of fields. Despite their widespread adoption, one of the main hurdles holding QCLs back from large volume manufacturing is the large cost of ownership. While QCLs, like most semiconductor devices based on III-V compounds, can leverage the economies of ...

    STTR Phase I 2021 Department of DefenseNavy
  10. PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning

    SBC: MAYACHITRA, INC.            Topic: N20AT007

    We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

    STTR Phase I 2020 Department of DefenseNavy
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