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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.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Anesthesia Ventilator for Atlantic Bottlenose Dolphins and California Sea Lions

    SBC: Innovative Veterinary Medicine, Inc.            Topic: N14AT015

    Innovative Veterinary Medicine, Inc. has conceptualized and designed an anesthesia ventilator named DolVent™ specifically for the Navy Atlantic bottlenose dolphins and California sea lions. The DolVent™ ventilator design will support the normal physiologic state of these animals using ventilation modes mimicking their natural breathing including the modes of Airway Pressure Release Ventilation ...

    STTR Phase II 2016 Department of DefenseNavy
  2. High Fidelity Computational Models for Aggregated Tissue Interaction in Surgical Simulations

    SBC: CFD Research Corporation            Topic: DHP16A001

    Surgical simulations aiming to support surgeon practices and medical education have attracted enormous research effort over the last two decades. However, the physical reality, especially on simulating aggregated tissue interaction, is still unsatisfactory. In this proposed work, an open source surgery simulation framework, SoFMIS, will be utilized and enhanced with tissue interaction models to a ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  3. Fast and Flexible Differential Equation Model Fitting with Application to Pharmacometrics

    SBC: Metrum Research Group LLC            Topic: N16AT016

    Differential equations are widely used to analyze and simulate the dynamics of complex systems in the physical, biological and social sciences. Inferences with such models are challenging due to both statistical and computational complexity. Stan is a widely used, open-source, probabilistic programming language and Bayesian inference engine. We propose to extend Stan by incorporating solvers for o ...

    STTR Phase I 2016 Department of DefenseNavy
  4. High Performance Energetic Propellant Ingredient Process Research and Development

    SBC: NALAS ENGINEERING SERVICES INC            Topic: N16AT021

    Current state of the art oxidizers have been in service for decades, leaving the performance of our munitions and propulsion systems unchanged while our tactical objectives have increased in their requirements. Keeping with ongoing changes in the worlds military, maintaining a tactical advantage while meeting or exceeding mission capability requirements is of utmost importance for our nation. As s ...

    STTR Phase I 2016 Department of DefenseNavy
  5. High Performance Energetic Propellant Ingredient Process Research and Development

    SBC: NALAS ENGINEERING SERVICES INC            Topic: N16AT021

    Current state of the art oxidizers have been in service for decades, leaving the performance of our munitions and propulsion systems unchanged while our tactical objectives have increased in their requirements. Keeping with ongoing changes in the worlds military, maintaining a tactical advantage while meeting or exceeding mission capability requirements is of utmost importance for our nation. As s ...

    STTR Phase I 2016 Department of DefenseNavy
  6. Improved Synthesis and Characterization of New Energetic Compounds

    SBC: TDA Research, Inc.            Topic: N16AT021

    The Navy seeks new energetic and oxidizing ingredients for use in propellant and explosive formulations of modern weapons systems. With recent developments in the design and synthesis of new energetic molecules, we have the opportunity to take the steps needed before these materials can successfully transition to use in next generation propulsion and ordnance systems. TDA Research and the Universi ...

    STTR Phase I 2016 Department of DefenseNavy
  7. Integrated Computational Material Engineering Approach to Additive Manufacturing for Stainless Steel (316L)

    SBC: SCIENTIFIC FORMING TECHNOLOGIES CORPORATION            Topic: N16AT022

    We are proposing to identify an ICME architecture that will enable the multi-scale modeling of additive manufacturing (AM) process at both the component level as well as at the meso-scale level such that the final part quality and performance can be predicted accurately. At the component level, the proposed ICME framework would help in predicting residual stresses, distortion and the necessary sup ...

    STTR Phase I 2016 Department of DefenseNavy
  8. Microstructure Informatics for Propagating Uncertainty in Material and Processing to Performance Predictions of AM Titanium Parts

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N16AT004

    During AM of metallic alloys, a material exhibits several complex physical phenomena that impact the spatial distribution of heterogeneous material properties within a built component. Subsequent post-processing alters the already heterogeneous location-specific material properties. This project is to develop a novel methodology for linking the time and length scales of the various physical phenom ...

    STTR Phase I 2016 Department of DefenseNavy
  9. Fully Encapsulating Dielectrics for Gaseous Helium Cooled Superconducting Power Cables

    SBC: Tai-Yang Research Company            Topic: N16AT011

    The Navys Next Generation Integrated Power Systems (NGIPS) for on shore, surface ships, and underwater vehicles will require novel power distribution systems. State of the art prime mover power generation and high power directed weapons require power distribution cables that surpass conventional copper cable capabilities. As such, the Navy has determined that electrical power systems must increase ...

    STTR Phase I 2016 Department of DefenseNavy
  10. Medium Voltage Direct Current (MVDC) Fault Detection, Localization, and Isolation

    SBC: ISSAC Corp            Topic: N16AT009

    The ISSAC Team leverages existing knowledge and expertise in power system monitoring, fault identification, localization and isolation in conjunction with rich, deep data analytics for pattern matching to devise a system for Medium Voltage Direct Current (MVDC) power system fault management. Because of the differences between AC and DC power grids there are a significant number of problems in deal ...

    STTR Phase I 2016 Department of DefenseNavy
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