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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Distributed Intelligent Swarm Control & Utilization System (DISCUS): Further Maturation and Demonstration

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: T4

    DISCUS is a generic Guidance, Navigation and Control (GNC) system for swarms of SmallSats. It integrates communications and relative localization with innovative Density Control Algorithms (DCA) enabling robust operation in a variety of uncertain environments. As such, it presents a key enabling technology for future Deep Space missions including space apertures at Lagrangian points, and orbiting ...

    STTR Phase II 2018 National Aeronautics and Space Administration
  2. Automated Fiber Placement of Thin-Ply Composite Materials for Large Aerospace Structures

    SBC: NEXTGEN MATERIALS & PROCESSING LLC            Topic: T12

    Leveraging their prior experience working with automated fiber placement (AFP) of thin-ply composite materials, NextGen Materials & Processing LLC and the University of Massachusetts Lowell will utilize a Design of Experiments approach, combined with analytical modeling, to identify the critical material, slitting, spooling, and AFP parameters that influence the repeatable, high quality laydown of ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  3. Intelligent Power Source Reliability Monitoring and Failure Mitigation System

    SBC: ALPHACORE INC            Topic: T3

    Alphacore Inc. will develop a high-accuracy built-in self-test (BIST) system for characterization of aging, degradation, available power and in-situ diagnosis of photovoltaic and multi-pack battery systems using low-complexity single-chip impedance spectroscopy (IS) approach. Alphacore will collaborate with Arizona State University (ASU) scientists to develop a low complexity single-chip photovolt ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  4. Regeneratively Cooled Ceramic Matrix Composite Nozzle Assembly for Reduced Weight

    SBC: PHYSICAL SCIENCES INC.            Topic: T9

    All rocket missions benefit from having lower structural mass and higher specific impulse, both of which contribute to larger payload fractions and therefore lower mission cost. High temperature materials such as ceramic matrix composites (CMCs) are an avenue to lower engine mass because of the low density and high specific strength of the material. They also have a high maximum temperature and so ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  5. Bio-inspired Cellular Material Optimization for the Design of Additively Manufactured Multi-Functional Lightweight Structures

    SBC: PHOENIX ANALYSIS & DESIGN TECHNOLOGIES INC            Topic: T3

    New technologies in imaging and manufacturing, including Additive Manufacturing (AM), are opening possibilities for mimicking biological structures in a way that has been unprecedented in human history. The primary innovation proposed here is the development of a tool that generates bio-inspired, parametrically optimized cellular materials for integration into the design of Additively Manufactured ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  6. Sentient Science- A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing

    SBC: SENTIENT SCIENCE CORPORATION            Topic: T12

    In response to NASA’s topic T12.02 of “Extensible Modeling of Metallurgical Additive Manufacturing Processes”, Sentient proposes to incorporate its DigitalClone technique to develop a multiscale and multiphysics computational modeling suite to predict comprehensive outcomes from AM building processes, including geometrical accuracy, and resulting microstructure and defects. Figure 1 shows th ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  7. Femtosecond-Laser Fabrication of Waveguides in Laser Materials

    SBC: AKTIWAVE LLC            Topic: T8

    This proposal includes, for the first time, integrated theoretical models and experimental investigations to simulate and demonstrate femtosecond-laser-fabricated waveguides in crystalline dielectric materials. The numerical models will predict refractive-index changes potentially induced by self-focusing, heat accumulation, thermal stress, plasma formation and relaxation, and ablation. The influe ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  8. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. Computational Models for Nonlinear Aeroelastic Systems

    SBC: CLEAR SCIENCE CORP            Topic: T201

    Clear Science Corp. and Duke University propose to develop and demonstrate new and efficient computational methods of modeling nonlinear aeroelastic systems. The methods will extend the scope of multi-disciplinary computational tools like NASA Dryden's STARS by augmenting linear eigenmode stability algorithms and coupled time-marching techniques. The objective is low-dimensional models that acc ...

    STTR Phase II 2005 National Aeronautics and Space Administration
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