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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. Automating U-spline fluid-structure model development for mobility applications

    SBC: Coreform LLC            Topic: A19BT006

    Dr. Thomas J.R. Hughes, senior advisor at Coreform, first introduced isogeometric analysis (IGA) in 2005. In the years since, it has been shown that smooth splines, the basic building blocks of IGA, allow for the use of relatively coarse meshes for accurate analysis in both finite element analysis (FEA) and computational fluid dynamics (CFD). Research results also show that IGA delivers improved a ...

    STTR Phase I 2020 Department of DefenseArmy
  3. Command and Control, Modeling and Simulation, Training

    SBC: Sonalysts, Inc.            Topic: MDA13T005

    The Sonalysts Team proposes to investigate, design, and develop a training system leveraging state-of-the art game and agent-based technologies with"TRILOGY,"a Modeling, Simulation, and Training (MST) system capable of three core capabilities: training, rehearsal, and analysis/CONOPS development. Sonalysts will leverage their latest commercial-off-the-shelf (COTS) game engine, Simulation Engine I ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  4. Durable Elastomeric Low Adhesion Icephobic Surfaces

    SBC: HygraTek LLC            Topic: N14AT013

    In this Phase I effort, HygraTek will explore a novel anti-ice coating formulation to develop icephobic surfaces for naval ship superstructures, decks, equipment and vehicles on board naval ships, e.g. fighter jets, helicopters etc. HygraTek has recently developed a series of different environmentally safe, non-fluorinated, transparent, icephobic coatings. These coatings display the lowest ice-adh ...

    STTR Phase I 2014 Department of DefenseNavy
  5. High Purity H2 from Sunlight via a Unique Combination of Novel Photodiodes and Membranes

    SBC: Precision Combustion, Inc.            Topic: A19BT015

    Precision Combustion, Inc. (PCI) together with University of Michigan (UMich) proposes a system to use solar energy to convert water to ultra-high purity compressed hydrogen suitable for PEM fuel cells. We will combine UMich’s high efficiency photocatalytic water splitting approach with PCI’s integrated hydrogen separator/compressor. The proposed effort will confirm the avoidance of external e ...

    STTR Phase I 2020 Department of DefenseArmy
  6. Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

    SBC: SOAR TECHNOLOGY, INC.            Topic: DHA19B001

    Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  7. Object Cueing Using Biomimetic Approaches to Visual Information Processing

    SBC: SOAR TECHNOLOGY, INC.            Topic: N14AT008

    Understanding imagery from unmanned automated systems in a timely fashion requires support systems for end users that can filter and preprocess massive data via complex vision and understanding. A new computer system that mimics both the bottom-up biological and top-down cognitive processes of the human visual system will provide breakthrough decision support for immediate imagery analysis. We pro ...

    STTR Phase I 2014 Department of DefenseNavy
  8. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Great Lakes Crystal Technologies, Inc.            Topic: AF19CT010

    We propose to perform customer discovery in Phase I to identify quantum grade single crystal diamond requirements for future Air Force quantum technologies with an aim to extend our state-of-the-art diamond synthesis process to demonstrate prototype quantum grade diamond in Phase II and to establish a domestic supply of quantum grade diamond in Phase III.

    STTR Phase I 2020 Department of DefenseAir Force
  9. 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
  10. Robust Terrain-Adaptive Vehicle Planning and Control

    SBC: Quantum Signal LLC            Topic: A14AT018

    Autonomous or teleoperated navigation of unmanned ground vehicles (UGVs) is difficult even in benign environments due to challenges associated with perception, decision making, and human-machine interaction, among others. In environments with rough, sloped, slippery, and/or deformable terrain, the difficulty of the navigation problem increases dramatically. In this effort, Quantum Signal, LLC, Un ...

    STTR Phase I 2014 Department of DefenseArmy
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