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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.

Displaying 1 - 10 of 9195 results
  1. Chaotic Source for Spread-Spectrum Radar and Communication

    SBC: MONTE SANO RESEARCH CORPORATION            Topic: A18117

    The advancement of our Nations ranging and communications systems is a crucial component for protecting national security. New and innovative technologies help to maintain our advantages on the battlefield, particularly when the combat capabilities of our adversaries continue to advance. For example, dramatic improvements to the size, weight, and power (SWaP) of radar and communications systems co ...

    SBIR Phase I 2019 Department of DefenseArmy
  2. Novel Cathodes for High Capacity Thermal Battery

    SBC: CFD Research Corporation            Topic: A14009

    The current state of the art thermal battery technologies will not be able to meet future requirements that call for higher power and capacity with a smaller footprint. The principal avenue for increasing the capacity of thermal battery is to identify and develop new electrode materials that provide higher specific capacity and power performance. The overall objective of the proposed effort is to ...

    SBIR Phase II 2019 Department of DefenseArmy
  3. Vascularized Tissue Construction Using Specialized 3D Bioprinting Techniques

    SBC: Lynntech Inc.            Topic: A17068

    Tissue engineering technology is of particular import to the Army for the matter of producing tissue replacements for the repair and regeneration of various organ systems (liver, heart, muscle, lung, etc.) for wounded patients. Unfortunately, the production of masses of tissue with thicknesses greater than ~1 mm presents a challenge due to diffusion limits of nutrients into the tissue and waste ou ...

    SBIR Phase II 2019 Department of DefenseArmy
  4. Linear Efficient Broadband Transmitter Architecture at mm-wave frequencies

    SBC: Digital Analog Integration, Inc.            Topic: A17027

    There is an ever-increasing demand on low-cost high-throughput wireless front-ends. Such high-throughput front-ends support broadband data transmission (multi-Gbit/s) for a wide variety of sensors and unmanned platforms in situational awareness, monitoring, and reconnaissance. Their wideband nature also supports the deployment of broadband communication/radar combo-systems, as well as numerous eme ...

    SBIR Phase II 2019 Department of DefenseArmy
  5. Monolithic Beam Steerer for High Power Mid-infrared Quantum Cascade Lasers

    SBC: Omega Optics, Inc.            Topic: N182109

    In this SBIR program, Omega Optics, University of Texas, Austin and Adtech Photonics propose a complete monolithic epitaxial device, with no wafer bonding, for surface emitting 2D non-mechanical optical beam steering at 4.6 micron wavelength. Two methods will be investigated: first, with slant etch normal emitters for azimuthal and elevation steering at a single wavelength using thermal phase shif ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Monolithic high-power QCL-based photonic integrated circuits for two-dimensional beam steering

    SBC: TransWave Photonics, LLC            Topic: N182109

    TransWave Photonics, LLC in collaboration with the University of Texas at Austin, proposes to demonstrate a mid-infrared 2-dimensional beam-steering photonic integrated circuit (PIC) with a passive InGaAs/InP platform where high performance mid infrared quantum cascade laser sources, low-loss InGaAs waveguides, and beam steering photonic elements are monolithically integrated. Low mid-infrared opt ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Fooling Computer Vision Classifiers with Adversarial Examples

    SBC: Lynntech Inc.            Topic: N182127

    The Lynntech team proposes to develop a Computer Vision FoolKit system that integrates cutting-edge approaches to systematically evaluate physically realizable adversarial attacks against several leading computer vision classifiers. It has been noted that most deep neural networks are demonstrably vulnerable to adversarial examples, even in the form of small-magnitude changes in intensities of the ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. Submarine Sensor Environmental Inference

    SBC: KSA, LLC            Topic: N182135

    The Base and Option propose applying machine learning (ML) deep learning (DL) methods to estimate the Waveguide Invariant (WGI). The ML and DL application also provide prior parameterization of the waveguide. Data fusion methods generate Energy Spectral Density (ESD) and Empirical Orthogonal Functions (EOF) to characterize the uncertainty of the sound speed profile in the water column from which t ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Development and Validation of a Computational Tool for Missile Flight Through Rain

    SBC: CFD Research Corporation            Topic: N182110

    The survivability of tactical missiles through adverse weather is difficult to predict, because of the dependency on many variables and the unpredictable nature of weather. This proposal is focused on an effort to develop and test a physics-based methodology for the prediction of the droplet distortion and demise in the flow field around missiles in supersonic flight. Our technical approach of Pha ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Computational Analysis of Missile Flight Through Rain

    SBC: Integration Innovation, Inc.            Topic: N182110

    The current state of weather requirements definition for tactical missiles is outdated providing operational decision makers little confidence in the performance of missiles in any environment other than blue-sky. The challenge is understanding detailed physics features like drop shape change through a shock, and then being able to apply those at the system level for vehicle performance assessment ...

    SBIR Phase I 2019 Department of DefenseNavy

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