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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Waterproofing Cargo Airdrop Equipment

    SBC: RESODYN CORPORATION            Topic: A16114

    The U.S. Army is interested in the development of innovative coating technologies to allow current U.S. Army airdrop related hardware and equipment to survive fresh and salt water operations with increased reliability and without damage and significant maintenance impact. Resodyn Corporation proposes for development a durable, moisture-impermeable, thermoplastic coating material to address the U.S ...

    SBIR Phase II 2019 Department of DefenseArmy
  2. High Power, Electronically Steerable Quantum Cascade Lasers

    SBC: NOUR, LLC            Topic: N182109

    The goal of this proposed Phase I effort is to design and demonstrate a monolithic architecture for two-dimensional, all-electronic beam steering of a high power, mid-infrared laser. A photonic integrated circuit architecture is described which contains a widely tunable, mid-infrared quantum cascade laser integrated with a phase-adjustable amplifier array and a high efficiency grating outcoupler. ...

    SBIR Phase I 2019 Department of DefenseNavy
  3. EROSION RESISTANT HYBRIDSIL ICEPHOBIC COATINGS FOR AIRCRAFT PROPULSION TURBOMACHINERY INLET COMPONENTS

    SBC: Nanosonic Inc.            Topic: N182115

    Through the proposed Navy SBIR program, NanoSonic will molecularly engineer and empirically optimize its HybridSil Icephobic coating technology for imparting long-term passive ice protection to aircraft propulsion turbomachinery inlet components. Unlike competing icephobic coating technologies that rely on unreacted, surface enriching / lubricating oils that impart temporary ice protection, NanoSo ...

    SBIR Phase I 2019 Department of DefenseNavy
  4. Multifunction-Multimodal Airborne Radar in Maritime/Littoral Environments

    SBC: Azure Summit Technology, Inc.            Topic: N182120

    Airborne surveillance radars continue to advance towards more flexible architectures that enable them to address evolving adversary tactics facilitated by global proliferation of RF and High Performance Embedded Computing (HPEC) technologies. Aided by these technologies, the adversary can use multiple electronic counter measures that can confuse traditional monostatic radars and obscure the true o ...

    SBIR Phase I 2019 Department of DefenseNavy
  5. Effect of Surface Finish and Post-Processing on the Fatigue Life of Additively Manufacturing Parts

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N182126

    Additive manufacturing technology is becoming more popular for the fabrication of 3D metal products as it offers rapid prototyping and large design freedom. However, with more complex geometric features due to topology optimization, it becomes infeasible to carry out traditional surface machining process to improve surface roughness for fatigue performance. In this effort, we will develop a novel ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Effect of Surface Finish and Post-Processing on the Fatigue Life of Additively Manufacturing Parts

    SBC: QUESTEK INNOVATIONS LLC            Topic: N182126

    In this Phase I SBIR, QuesTek Innovations will work with a leader in the field of surface finish engineering to pursue a tandem approach for developing techniques for surface finishing, and developing a modeling framework for predicting fatigue life based on surface finish. Exemplar models provided by the US Navy will be investigated with target alloy system(s) to fully demonstrate the technology ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Computer Learning Obfuscating Adversarial Kit (CLOAK)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N182127

    In 2013, Szegedy et al. identified a series of intriguing properties of neural networks. One property introduced in the paper, adversarial examples, describes the possibility of instability in neural network classification when a small perturbation is added to input. Specifically, the authors found that a small strategic perturbation to an input image could cause a classifier to misclassify an obj ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. Stackable, high voltage Silicon Carbide based DSRDs

    SBC: GENESIC SEMICONDUCTOR INC.            Topic: N182130

    Silicon carbide (SiC) based stackable drift step recovery diodes (DSRDs) with 20 kV/1 kA/=1 MHz capability are proposed in this program for potential use in the next-generation of high-power microwave pulse generators of interest to a wide range of commercial and military applications, ranging from ultra-wide band telecommunication systems, short-range local positioning systems, power lasers, grou ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Minimization of In-Band Interferers on Airborne Anti-Submarine System Performance

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: N182116

    Coordinated Anti-Submarine Warfare (ASW) tactical operations frequently hinge upon the ability of our airborne assets to detect, classify, localize and prosecute enemy submarines who possess formidable offensive and defensive capabilities. This is becoming increasingly difficult as enemy assets get quieter and the acoustic environment becomes increasingly crowded. The Navys airborne ASW passive an ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Radio Frequency-Activity Modeling and Pattern Recognition (RF-AMPR)

    SBC: DEEPSIG INC.            Topic: N182138

    Current solutions for automated RF data analysis and information discovery in in RF sensor data struggle to cope with large volumes of sensor data and unknown emissions and behavior underlying the emissions. Our proposed solution for Radio Frequency Modeling and Pattern Recognition (RF-AMPR) leverages state of the art machine learning based RF emission and event detection, activity modeling and an ...

    SBIR Phase I 2019 Department of DefenseNavy
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