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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. Fast-Running Physics-Based Models for Intercept Debris Aero-heating and Aero-thermal Demise

    SBC: Corvid Technologies LLC            Topic: MDA12009

    Corvid Technologies is pleased to offer this SBIR Phase I proposal. In the proposed effort, we will develop a fast-running, predictive methodology for the aerothermal demise of the debris generated during a Ballistic Missile Defense intercept event. This model will be informed by existing high-fidelity tools for material response and ablation, as well as new and existing engineering models for a ...

    SBIR Phase I 2013 Department of DefenseMissile Defense Agency
  2. Lightweight, High Efficiency Cryogenic Heat Exchanger

    SBC: NanoTechLabs Inc.            Topic: N122128

    Through this effort, NanoTechLabs Inc. will improve the efficiency and lower the mass of the cryogenic heat exchanger used in American Superconductor's High Temperature Superconducting Degaussing system. NanoTechLabs will achieve these goals by producing a Carbon Nanotube metal matrix composite. Carbon Nanotubes have a room temperature thermal conductivity of ~3000 W/m K and a density of ~1.3 ...

    SBIR Phase I 2013 Department of DefenseNavy
  3. Advanced Ballistic Shielding for Crew Served Weapons Stations

    SBC: Corvid Technologies LLC            Topic: N122132

    In a Phase I effort, Corvid Technologies will develop and test candidates for a series of advanced ballistic shields for crew served weapons stations intended to replace heavy, cumbersome shielding that does not meet required specifications. Current armor production efforts by Corvid will be leveraged, which share similar ballistic and environmental requirements. Corvid also offers a unique approa ...

    SBIR Phase I 2013 Department of DefenseNavy
  4. Interactive Generative Manifold Learning

    SBC: Signal Innovations Group, Inc.            Topic: N122138

    Signal Innovations Group proposes a hierarchical Bayesian approach for non-linear dimensionality reduction that addresses three key challenges: learning a reversible mapping from a high-dimensional observed space to a low-dimensional embedded space, learning the dimension of the embedded space, and generating new high-dimensional data for a given location in the embedded space. The proposed genera ...

    SBIR Phase I 2013 Department of DefenseNavy
  5. Post-IED Hull Inspection Tool

    SBC: Corvid Technologies LLC            Topic: N123156

    On today"s battlefields, vehicles are at risk of encountering improvised explosive devices (IEDs). Fortunately, not all of these result in complete vehicle loss. Sending a vehicle back to the depot for overhaul when it could have stayed in operation, wastes precious resources. Conversely, leaving a damaged vehicle in operation without some level of confidence that it can withstand a second blast p ...

    SBIR Phase I 2013 Department of DefenseNavy
  6. Modeling High Explosive (HE) Detonation Response and Resulting Debris/Shrapnel Generation from Submunitions Warheads

    SBC: Corvid Technologies LLC            Topic: MDA12008

    As MDA continues implementation of the Phased Adaptive Approach (PAA), high fidelity and accurate characterization of post-intercept debris environments will become more and more critical to the successful operation of the larger Ballistic Missile Defense (BMD) system. The objective of this proposed effort is to leverage first principles physics based codes to more accurately model high and low-o ...

    SBIR Phase I 2013 Department of DefenseMissile Defense Agency
  7. Adaptive Compression of Telemetry Data using Application Specific Dictionaries

    SBC: Vadum, Inc.            Topic: MDA12012

    Vadum proposes to create a novel telemetry data compression/decompression system, SCoCD (Sparse Compression on Complete Dictionaries) with very low latency, very high compression rate, and very low distortion. The system will allow lossless compression, and can be tuned for each type of data stream with particular emphasis on imagery. Vadum has demonstrated x59 compression of Aegis test-fire ima ...

    SBIR Phase I 2013 Department of DefenseMissile Defense Agency
  8. Prototype Application of Mobile, Cloud-based, Watson-Like Technologies for TBI/PTSD Clinical Decision Support and Predictive Analytics

    SBC: Lifecom Inc.            Topic: DHP12005

    The goal of this Phase I project is to develop an engineering plan and to create a prototype for a mobile, cloud-based expert system to aid in diagnosis, decision support and predictive analytics to improve clinical outcomes for veterans, soldiers, and their families with traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD). Lifecom, Inc. is a health information technology compan ...

    SBIR Phase I 2013 Department of DefenseDefense Health Program
  9. KeraStat(TM) Burn Gel and Halofuginone to Prevent Scar Contracture after Burn Injuries

    SBC: Keranetics, LLC            Topic: DHP12016

    This Phase I project is relevant to the ultimate goals of this program announcement given the prevalence of the IED which often creates complex burn wounds on the face and skin that often form hypertrophic scars that often contract over time. Burn wound healing is a complex process that includes phases of inflammation, granulation tissue formation, re-epithelialization, and, finally, remodeling. ...

    SBIR Phase I 2013 Department of DefenseDefense Health Program
  10. Nondestructive Concrete Characterization System

    SBC: NLA DIAGNOSTICS LLC            Topic: A12aT013

    During covert operations, the U.S. Army may be required to breach a concrete structure using a controlled explosion. When choosing the most effective charge size and placement, it is vital to perform a rapid field assessment of the material and structural properties of the target structure. However, recent advances in manufacturing high strength concrete materials (such as Ductal) may increase the ...

    STTR Phase I 2013 Department of DefenseArmy
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