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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. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Robust Molecular Predictive Methods for Novel Polymer Discovery and Applications

    SBC: Sheeta Global Tech Corp.            Topic: 08b

    This Small Business Technology Transfer (STTR) program aims at development and demonstration of an integrated theoretically/experimentally combinatorial method for the accurate prediction of rheological behaviors of special polymer solutions. In-depth understandings of dynamic responses of the polymer solutions under external shear are essential for development of the “smart” polymer-based add ...

    STTR Phase II 2018 Department of Energy
  3. Compact Laser Drivers for Photoconductive Semicond

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  4. Hierarchical, Layout-Aware, Radiation Effects Tools Vertically Integrated into an EDA Design Flow for Rad-Hard by Design

    SBC: Reliable MicroSystems, LLC            Topic: DTRA16A003

    The goal of this workis to establish a radiation-aware capability in a commercial EDA design flow that will enable first-pass success in radiation resiliency for DoD ASIC designs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications.Such an integrated capability does not presently exist.The ...

    STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  5. Very High Field Hybrid Superconducting Magnet Using Bi-2212

    SBC: Cryomagnetics, Inc.            Topic: 26b

    Hig e and advanced materials are continually demanding higher magnetic fields. Efforts to generate fields in excess of 25 Tesla have been a principal driver of high temperature superconductor research. Although HTS materials were discovered decades ago and have always shown significant potential for high field use, until recently magnets using the technology have remained elusive. Great progress h ...

    STTR Phase I 2018 Department of Energy
  6. High Quantum Efficiency Uni-Traveling-Carrier Photodiode for Optical to Microwave Transduction

    SBC: Freedom Photonics LLC            Topic: 29d

    Modern quantum information systems employ optical photons for long distance communication, operating at ambient temperature, between microwave cavities, which house microwave photons used in quantum computing and microwave detection. These optical photons, carried by fiber-optic or free-space links, offer a low-cost, uncooled alternative to bulky, expensive microwave coaxial cables, which are loss ...

    STTR Phase I 2018 Department of Energy
  7. Development of breeding strategies for Nitzschia sp.

    SBC: GLOBAL ALGAE INNOVATIONS, INC.            Topic: 08c

    Renewable algae fuels are the source of energy for the future. It was demonstrated that algae fuels can be produced and they were successfully used in demonstration airplane flights and cars. The cost of algae oil is still high and cannot compete with fossil fuels. High algae growth and ability to accumulate oil fast are the key factors that will make algae based biofuels affordable. Diatoms are t ...

    STTR Phase I 2018 Department of Energy
  8. Development of a breeding system in Chlamydomonas moewusii for improved production strains

    SBC: GLOBAL ALGAE INNOVATIONS, INC.            Topic: 08c

    For economically viable large-scale production of microalgae based food and biofuel to become a reality, significant improvements in algal productivity need to be achieved. With current regulatory guidelines, large scale outdoor cultivation of microalgae for these products restricts the use of transgenic algal strains, which in the laboratory, have thus far been the primary strategy taken to effec ...

    STTR Phase I 2018 Department of Energy
  9. Domestication of the microalga Scenedesmus obliquus for biomass feedstock production

    SBC: Microbio Engineering, Inc            Topic: 08c

    To advance a strong and economical biofuels and bioproducts industry, tools are needed for breeding microalgae to improve phenotypes of commercial interest, including biomass yield, culture stability, harvestability, and accumulation of valuable compounds. This project aims to increase biomass feedstock yields by the phototrophic green alga Scenedesmus obliquus by using classical breeding approach ...

    STTR Phase I 2018 Department of Energy
  10. System for Nighttime and Low-Light Face Recognition

    SBC: Polaris Sensor Technologies, Inc.            Topic: SOCOM18A001

    The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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