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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Conformal Additive Cellular Heat Exchanger Technology (CACHET)

    SBC: Technology Assessment and Transfer, Inc.            Topic: N15AT019

    Technology Assessment & Transfer, Inc. and subcontractors propose novel, high performance additive manufactured (AM) heat exchangers for military systems. The AM process will allow for conformal, lightweight designs that optimize use of available space. Design and modeling efforts in Phase I will identify enhanced heat transfer surfaces compatible with, and made possible by, an AM fabrication appr ...

    STTR Phase I 2015 Department of DefenseNavy
  2. A High-Speed Digital Holocamera for the 3-D Analysis of Flow Interaction with High Speed Flows

    SBC: Metrolaser, Inc.            Topic: N20AT020

    In hypersonic flight, airborne particles such as water or ice can penetrate and alter the bow shock and flow field, enhance erosion mechanisms and alter aerodynamics. Particles break up as they pass through the shock wave, impact the surface, erode and increase surface roughness, increase turbulence and heat transfer, and augment heating that can destroy heat shields prematurely. Many tests and th ...

    STTR Phase I 2020 Department of DefenseNavy
  3. Hexahedral Dominant Auto-Mesh Generator

    SBC: M4 ENGINEERING, INC.            Topic: N20AT004

    Advances in both software and computer hardware have made the finite element method the preeminent choice for analyzing highly complex systems that are of great value to the Department of Defense.   The US Defense industry, however, continues to spend enormous time and resources in mesh generation, a key step in finite element analysis, despite progress that has been made in automated mesh gener ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Machine Learning for Transfer Learning for Periscopes

    SBC: Arete Associates            Topic: N20AT007

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms.  Technological advances that will be brought t ...

    STTR Phase I 2020 Department of DefenseNavy
  5. CRISIS: Knowledge Graph Based Cyber Resilience Integrated Security Inspection System

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N20AT011

    Modern US Navy ships and submarines are configured with an ever-increasing level of automation, including state-of-the-art embedded wireless sensors that monitor vital system functions. However, sensor nodes have the potential to serve as targets for cybersecurity attacks or be susceptible to corruption through accidental or malicious events. To address these shortfalls and minimize vulnerabilitie ...

    STTR Phase I 2020 Department of DefenseNavy
  6. TIS: Trusted Sensor Integration

    SBC: Objectsecurity LLC            Topic: N20AT011

    Condition-based maintenance plus (CBM+), and cyber-physical systems (CPS) in general, depend on correct sensor data for analysis, decision making and control loops. If the sensor data that arrives at the point of processing is not correct, or more accurate, is outside its accepted error range, then any further processing will be incorrect as well. This could result in, in the case of CBM+, not det ...

    STTR Phase I 2020 Department of DefenseNavy
  7. CYANDECA: Cyber Anomaly Detection, Classification, and Analysis for Condition Based Monitoring

    SBC: Intelligent Automation, Inc.            Topic: N20AT011

    Navy is developing the concepts and methods to leverage Machine Learning (ML) techniques for the maintenance decision-making on condition-based maintenance plus (CBM+) platform. Effective health monitoring for condition-based and predictive maintenance requires intelligent sensor selection and placement, and context-aware interpretation of sensor data to detect the many possible fault modes. Moreo ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Analog Optical Link using Novel Record Performance Laser, Modulator and Photodiode Technology

    SBC: Freedom Photonics LLC            Topic: N20AT012

    In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.

    STTR Phase I 2020 Department of DefenseNavy
  9. Magnesium Alloys for Additive Manufacturing by Artificial Intelligence (MAGAMAI)

    SBC: Intelligent Automation, Inc.            Topic: N20BT026

    NAVY seeks high strength, low density, and high corrosion resistant alloys for structural components which can be processed by additive manufacturing (AM). Magnesium (Mg) alloys are candidates for fuel-efficiency applications, especially the aircrafts. They satisfy density, strength, and stiffness for many designs. However, their low corrosion resistance cannot ensure design lifetimes.  This limi ...

    STTR Phase I 2021 Department of DefenseNavy
  10. Hexahedral Dominant Auto-Mesh Generator

    SBC: HYPERCOMP INC            Topic: N20AT004

    The objective of our proposed STTR phase-I work is to transition the latest advancements within the academic community to the design of a robust, user-friendly, and application-oriented tool for automatic hex-dominant meshing. Our software will fully couple CAD models to the discretized domain required by finite element software in structural analysis and other simulation and modeling applications ...

    STTR Phase I 2020 Department of DefenseNavy
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