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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Urbanscape: Single Shot Multi-Task 3D Reconstruction

    SBC: DZYNE Technologies Incorporated            Topic: DTRA18B001

    Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  2. Secure Virtual Environment for Cyber Resiliency Validation

    SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC            Topic: MDA19T004

    Department of Defense (DoD) cybersecurity test and evaluation (T&E) uses various cyber event environments throughout the development of a combat system to support fielding more secure, resilient, and cost-effective systems. Cyber ranges deploy cyber-attacks and achieve high-fidelity feedback on vulnerabilities present in the system without putting operational systems at risk; they support more rig ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  3. Monte Carlo Modeling of Weapon System Tactics, Techniques, and Procedures: A Framework for Assessing the Impacts of Variability in Human Performance

    SBC: Energy And Security Group, LLC            Topic: MDA19T008

    Energy and Security Group (ESG) and our partner Sandia National Laboratories (SNL) will design a modeling and simulation (M&S) framework that integrates human performance modeling with high-fidelity systems modeling to explore the impacts of human operator variability in execution of tactics, techniques, and procedures (TTP). This framework, TTPSim, can be used to develop and run simultaneous, eff ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  4. Additive Manufacturing of Inorganic Transparent Materials for Advanced Optics

    SBC: IRFLEX CORPORATION            Topic: N19BT028

    Additive manufacturing (AM) technology offers the capability to use multiple glass materials and to print complex freeform shape designs and gradient index (GRIN) optics. Although AM is widely used to print commercial 3-dimension metal and plastic/polymer parts, there are no viable commercial solutions for AM of inorganic transparent glasses for high-quality optical components.The proposed work wi ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Indicator Yarns to Detect Degradation in Nylon Webbing

    SBC: Nanosonic Inc.            Topic: N19BT032

    Nylon webbing is used for the load bearing elements in the parachute system - harnesses and risers, and degrades with use, depending on environmental conditions and frequency of use. The environmental factor that causes the most degradation of polymers in webbing is ultraviolet (UV) irradiation; this factor, combined with repeated mechanical strain, can accelerate degradation to a point where the ...

    STTR Phase I 2020 Department of DefenseNavy
  6. Multi-Input Strength Loss Sensing for Webbing Structures

    SBC: Luna Innovations Incorporated            Topic: N19BT032

    Webbing textiles are critical to many personnel safety systems in U.S. Navy aircraft, however there are presently no viable non-destructive techniques to detect when the load strength has degraded to an unsafe level. Luna is developing a multi-input approach to address this need by combining the advantages of mechanochromic dyes/polymers with embedded fiber optic sensors. Mechanochromic dyes will ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Innovative Multi-scale/Multi-physics Model for Surface Finish Prediction and Optimization of Metal Additively Manufactured Parts

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N19BT034

    In this STTR effort, TDA and its team partner University of Louisville will focus on developing an innovative intelligent decision support tool using data-driven multi-scale multi-physics models (DDMM) to derive process-surface roughness relationships for selective laser melting (SLM). The proposed models account for both powder characteristics and AM processing/path planning, including powder siz ...

    STTR Phase I 2020 Department of DefenseNavy
  8. EA Seat Optimization Platform: Biofidelic tool for model-informed EA device design

    SBC: Luna Innovations Incorporated            Topic: N20AT001

    Ground vehicle underbody blast events pose a significant threat to warfighters; therefore, there is a need to develop energy attenuating (EA) seats to mitigate these injuries. Many of the current technologies were primarily designed for the 50th percentile male. To address this critical need, Luna Innovations will investigate how anthropometric variability and changes in posture affect injury, dev ...

    STTR Phase I 2020 Department of DefenseNavy
  9. Machine Learning Tools to Optimize Metal Additive Manufacturing Process Parameters to Enhance Fatigue Performance of Aircraft Components

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N20AT002

    In this SBIR effort, TDA and its team partners propose to develop a comprehensive toolset based on an Integrated Computational Material Engineering (ICME) framework using Machine Learning (ML) and Artificial Intelligence (AI) algorithms to predict mechanical performance and fatigue life in additively manufactured (AM) metallic components. The toolset addresses fatigue contributing factors, includi ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Quantum Optical Semiconductor Chips and its Application to Quantum Communication

    SBC: Maxxen Group, LLC            Topic: N20AT005

    Current Superconducting Quantum Interference Device (SQUID) technology is capable of quantum computing, however, its application is limited due to its large size, low-temperature refrigeration requirement, and high cost.  Quantum optical semiconductor-scale chip technology is promising but not commercially available yet due to the multiple challenges to overcome. Using quantum photonic technology ...

    STTR Phase I 2020 Department of DefenseNavy
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