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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Advanced Electromagnetic Modeling with High Geometric Fidelity Using High-Order Curved Elements

    SBC: VIRTUAL EM INC.            Topic: N20BT028

    Virtual EM is proposing a method to achieve orders of magnitude improvement in computational efficiency in full-wave CEM codes by using high-order curved elements. Virtual EM’s own commercial product VirAntenn™ will provide the CEM setting for both developing and implementing the new capability in Phase I and Phase II, respectively. Using multi-wavelength long cells with high-order basis forms ...

    STTR Phase I 2020 Department of DefenseNavy
  2. Geometry-Perfect CEM Design and Analysis Software for Aircraft Systems

    SBC: IERUS TECHNOLOGIES, INC            Topic: N20BT028

    Performing accurate simulations of large- and multi-scale electromagnetics problems has far-reaching implications in a variety of engineering and scientific disciplines. The same physics governs a diversity of applications including problems of importance for NAVAIR such as complex radome-antenna and antenna-platform interactions.  Such simulation problems involve complex materials, multiple feed ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Advanced, High-Performance, Low-Noise Propeller Designs for Small UxS

    SBC: CFD Research Corporation            Topic: N20AT006

    Improved propeller designs for Small Unmanned Aerial Systems are needed to improve performance and reduce acoustic emissions. Traditional propeller design methods don’t take advantage of advances in coupled fluid, structure and acoustics computational design methods nor advances in high strength, high modulus materials to extend performance of propellers and reduce noise emissions. In the propos ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Highly Efficient Low Noise Propellers and Rotors for Unmanned Systems

    SBC: Continuum Dynamics Inc            Topic: N20AT006

    Small Unmanned Air Systems (UAS) are critical to deploying sensors, communications and other mission payloads, however, UAS noise, most notably propeller noise, can jeopardize mission success because vehicles can be detected beyond the range of payload effectiveness.  Continuum Dynamics, Inc. and Georgia Institute of Technology propose to develop a new class of highly efficient ultra-quiet propel ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Hybrid Integration of Photonics and Cryogenic Electronics with Magnetic Shielding

    SBC: Systems Visions, LLC            Topic: N20AT021

    The "Hybrid Integration of Photonics and Cryogenic Electronics with Magnetic Shielding (HIPCEMS)” effort will develop a scalable heterogeneous packaging plan which results in extreme energy efficiency information transfer at high clock rates and low bit error rate of digital data between superconducting and photonic technologies, each at 4K. HIPCEMS will feature a mechanically robust package tha ...

    STTR Phase I 2020 Department of DefenseNavy
  6. Reduction of Predictable Spurs in the ADC outputs using AI

    SBC: VIRTUAL EM INC.            Topic: N20AT025

    An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.

    STTR Phase I 2020 Department of DefenseNavy
  7. Innovations in Designing Damage Tolerant Rotorcraft Components by Interface Tailoring

    SBC: HARP ENGINEERING LLC            Topic: N19AT003

    The performance of a composite material is heavily influenced by the strength and toughness of the interlaminar region, which is the resin rich area between the plies of a fiber reinforced composite.  The interlaminar region generally provides a direct path for crack propagation since no continuous reinforcement is present and is often the cause of failure in materials subjected to cyclic loadin ...

    STTR Phase II 2020 Department of DefenseNavy
  8. Machine Learning Tools to Optimize Metal Additive Manufacturing Process Parameters to Enhance Fatigue Performance of Aircraft Components

    SBC: Global Engineering and Materials, Inc.            Topic: N20AT002

    Global Engineering and Materials, Inc. (GEM) along with team members, Northwestern University (NU) and National Institute for Aviation Research (NIAR) at Wichita State University, propose a coupled tool based on machine learning and integrated computational materials engineering (ICME) to optimize metal additive manufacturing (AM) process parameters to improve fatigue performance of aircraft compo ...

    STTR Phase I 2020 Department of DefenseNavy
  9. Hexahedral Dominant Auto-Mesh Generator

    SBC: Global Engineering and Materials, Inc.            Topic: N20AT004

    Global Engineering and Materials, Inc. (GEM) along with its team members Carnegie Mellon University (CMU), and HexSpline3D propose to develop a novel hybrid modeling approach for automatic and interactive mesh generation using predominately hexahedral finite elements for naval aviation structures. The hybrid approach consists of a global geometric decomposition, an initial hex-dominant mesh genera ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development

    SBC: CFD Research Corporation            Topic: N19AT020

    The US Navy has identified refractory high entropy alloys (RHEAs) and metal additive manufacturing (AM) as enabling technologies to meet performance and sustainability targets for shipboard and aircraft systems. Key challenges include designing RHEAs and optimizing metal AM to achieve desired material properties for Navy propulsion applications. Developing materials and processes via traditional e ...

    STTR Phase II 2020 Department of DefenseNavy
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