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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Scalable Manufacturing of Functional Yarns for Textile Energy Storage

    SBC: Physical Sciences Inc.            Topic: A13AT015

    Physical Sciences, Inc. and Colorado State University will advance the technical maturity of the Compressive Sensing Hyperspectral Imager (CS-HSI) platform.The CS-HSI operates in the longwave infrared (LWIR) spectral range with a single-pixel architectu

    STTR Phase II 2019 Department of DefenseArmy
  2. Parallel Two-Electron Reduced Density Matrix Based Electronic Structure Software for Highly Correlated Molecules and Materials

    SBC: STORAGENERGY TECHNOLOGIES, INC.            Topic: A17AT013

    To further accelerate the commercialization process of our supercapactior yarns, we plan to further lower the production cost, enhance our yearn performance and optimize customer experience via materials and process engineering and innovative platform dev

    STTR Phase II 2019 Department of DefenseArmy
  3. Tools for Parallel Adaptive Simulation of Multiphase Ballistic Flows

    SBC: Synclesis, Inc.            Topic: A15AT004

    Synclesis, Inc., and the University of Illinois at Urbana Champaign (UIUC), under a Phase I and II STTR project, have developed a novel software framework for computationally efficient and accurate Electromagnetic Interference (EMI) analysis and assessmen

    STTR Phase II 2019 Department of DefenseArmy
  4. High-Performance Activewear and Workwear made from Virgin and Recycled Cotton

    SBC: Natural Fiber Welding, Inc.            Topic: A17AT013

    Natural Fiber Welding, Inc. (NFW) is developing revolutionary textile manufacturing processes that both increase performance of biodegradable natural fibers while decreasing manufacturing costs. Benefits of NFWs technologies include greatly increasing th

    STTR Phase II 2019 Department of DefenseArmy
  5. Stochastic Electromagnetic / Circuit Analysis

    SBC: Q-CHEM, INC.            Topic: A14AT013

    The variational two-electron reduced-density matrix (v2RDM) method provides an effective framework for computer modeling of the electronic structure of complex molecules and materials that exhibit strong correlation effects. In Phase I and Phase II of thi

    STTR Phase II 2019 Department of DefenseArmy
  6. High-Performance Activewear and Workwear made from Virgin and Recycled Cotton

    SBC: CFD Research Corporation            Topic: A152092

    Pulse voltammetry techniques, coupled with model-based analysis tools, provide a number of advantages for quantitative analysis of electrochemically active materials that govern the performance of batteries and fuel cells.In prior Phase I and II researc

    STTR Phase II 2019 Department of DefenseArmy
  7. Reusable Pilot Vehicle Interface (PVI) Components and Widgets using ARINC 661 and FACE Architectures

    SBC: ART OFFICE CORP.            Topic: A17082

    Attempts to reuse modern graphical software applications are met with difficulty because avionics applications are typically developed with a specific platform in mind; in these instances, portability is an afterthought. This proposal provides a solution for prioritizing and maximizing the reuse of graphical avionics systems by detailing an innovative software development process and reference arc ...

    SBIR Phase II 2019 Department of DefenseArmy
  8. Prototyping of GPS Interference Mitigation Module

    SBC: Qunav LLC            Topic: A17119

    Phase II effort will develop and implement an embedded prototype of GPS Interference Mitigation Module (GIMM) as a tailored design of the overall Exploitation of Discrete GPS Interference for Enhanced Navigation (EDGE) technology toward a higher potential for transitioning to fielded systems. Phase II will build on Phase I algorithmic components and their feasibility demonstration results. Main ob ...

    SBIR Phase II 2019 Department of DefenseArmy
  9. High Fidelity Multi-Dimensional Fire Modeling and Simulation for Composite Structure Response

    SBC: Reaction Engineering International            Topic: A17073

    The overall goal of this effort is to quantify the system-level response of structure/shelters to fires.Proposed is a physics-based, multi-dimensional simulation software to quantify the system-level response during fires and to reduce the amount of full-system experimental testing required to ensure personnel safety.An existing REI-developed user interface designed to offer a full suite of tools ...

    SBIR Phase II 2019 Department of DefenseArmy
  10. DEEP FOCUS: USING DEEP LEARNING TO DISCERN TARGETS IN CLUTTERED RADAR

    SBC: CLOSTRA, INC.            Topic: A17133

    Deep Focus applies deep learning neural networks to Apache Fire Control Radar (FCR) targeting and target identification, with applicability to related systems. Recent innovations in deep learning theory and implementation have enabled neural nets to achieve what was once unthinkable:beat humans at complex image recognition skills, safely pilot cars over chaotic road systems, and overwhelm Grandmas ...

    SBIR Phase II 2019 Department of DefenseArmy

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