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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. Development of a sensor for detecting Paralytic Shellfish Poisoning toxins

    SBC: SeaTox Research Inc            Topic: 842

    Paralytic shellfish poisoning (PSP) due to consumption of contaminated shellfish is an increasing problem is the coastal waters of the United States, particularly in New England and the Pacific Ocean. The symptoms of PSP include vomiting, diarrhea, shortness of breath, confusion, and loss of coordination in both marine animals and humans. In severe cases, PSP toxins can cause respiratory failure a ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Tofu-tolerant mariculture: Genomics-Assisted Breeding of a High-Quality Marine Finfish for Enhanced Performance on Sustainable, Scalable Soy-based Feeds

    SBC: Kampachi Farms, LLC            Topic: 811F

    Reliance on fishmeal and fish oil is a significant constraint to aquaculture expansion in America, and globally. As U.S. marine fish farming expands, genetic improvements could increase economic performance and decrease ecological footprint. This is critically important to sustainability, scalability and profitability of the industry, and is key to attracting capital investment. Commercial opportu ...

    SBIR Phase II 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  3. High-Resolution Measurement Techniques for High Explosive Internal Pressure and Temperature for Lethality Assessment

    SBC: Corvid Technologies LLC            Topic: MDA16002

    Corvid Technologies will develop in-situ instrumentation to measure key physical states in reacting high explosives. The emerging measurement capability will provide state information to support lethality analysis by enabling equation of state development for computational models, as well as fast-running engineering codes for evaluating HE response to stimuli. Development of internal temperature ...

    SBIR Phase I 2017 Department of DefenseMissile Defense Agency
  4. Artificial Scene Generator

    SBC: Corvid Technologies LLC            Topic: MDA16022

    Corvid proposes the development of a physics-based Artificial Scene Generator (ASG) and associated Material Delivery System (MDS) software control loop that can adapt to variable target dynamics, environmental conditions, MDS deployment settings, and missile defense sensor scene requirements. Corvid teams existing physics-based modeling tools will be leveraged to model all aspects of the MDS and ...

    SBIR Phase I 2017 Department of DefenseMissile Defense Agency
  5. Anchoring Post-Intercept Debris Prediction Tools

    SBC: Corvid Technologies LLC            Topic: MDA12029

    Initial research into potential in-situ KA sensor technologies has uncovered viable sensor technologies and demonstrated the existence of exploitable features that could discriminate between objects of similar shape and size, but very different materials and internal structure. A few different KA sensor types have been hypothesized and it is likely that more than one sensor type is necessary to co ...

    SBIR Phase II 2017 Department of DefenseMissile Defense Agency
  6. Innovative Solutions for Improving Discrete Debris Signature Models

    SBC: Corvid Technologies LLC            Topic: MDA13012

    The primary objective of this Small Business Innovation Research (SBIR) Phase II proposed effort is to develop and test Post-Intercept Assessment (PIA) strategies and feature calculation methodologies using high-fidelity, physics-based (hydro-code) modeling of missile defense engagements. The effort will leverage emerging SBIR/Small Business Technology Transfer (STTR) technologies being developed ...

    SBIR Phase II 2017 Department of DefenseMissile Defense Agency
  7. Improvements to the BMDS Hit-to-Kill Lethality Predictive Toolset

    SBC: Corvid Technologies LLC            Topic: MDA07020

    The proposed work improves modeling impact and sensor response. More accurate predictions of the relevant debris scenes will be accomplished by improving material characterization methods, implementing new numerical damage mechanisms, and utilizing those mechanisms with enhanced material modeling capabilities to evaluate the tearing response. Additionally, improvements regarding simulated sensor ...

    SBIR Phase II 2017 Department of DefenseMissile Defense Agency
  8. AM for Missile Defense

    SBC: AURA Technologies, LLC            Topic: MDA16013

    Bennett Advanced Research of Raleigh, NC propose to demonstrate the procedure for validating, qualifying and predicting part quality and allowing for the certification of parts made via additive manufacturing (AM). We will focus on non-critical parts for affordable missile defense applications. Approved for Public Release | 16-MDA-8917 (15 November 16)

    SBIR Phase I 2017 Department of DefenseMissile Defense Agency
  9. Camera-based Examination of Risk via Behavioral Evaluation with Remote Underwater Surveillance

    SBC: Forever Oceans Corporation            Topic: 841

    Commercial marine aquaculture operators face many operational hazards including disease, predators, husbandry operations, and environmental changes. Most of theses risks are only identified with constant surveillance and physical presence at a farm site. However, human observation of risk factors is expensive, slow, and sometimes ineffective. Sensors are available to monitor individual environment ...

    SBIR Phase I 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  10. High Electrical Efficiency GaN FETs for Innovative Radar/RF Sensors

    SBC: KYMA TECHNOLOGIES, INC.            Topic: MDA05035

    Improving efficiency and reliability of GaN-based FETs is paramount in enabling system insertion, both of which are limited by thermal effects and self heating in the devices. One factor limiting high voltage and high efficiency operation of GaN HEMTs is leakage current between the gate and drain at high drain bias. Pure screw dislocations arising from the lattice mismatch at the SiC substrate and ...

    SBIR Phase I 2006 Department of DefenseMissile Defense Agency
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