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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. Patterned, Responsive Cellular Therapies Using Novel Mammalian Cellular Regulator Systems

    SBC: General Biologics, Inc.            Topic: HR001119S003516

    We propose to design, build and test genetic circuits and DNA constructs that will be expressed in human cells and that will ultimately have applications for the health of warfighters. The circuits will have physiological inputs representing, for example, (1) infection/sepsis, (2) altitude sickness or blood loss, and (3) radiation exposure; which will be mediated through signal transduction pathwa ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  2. Aberration-correcting Topologically Optimized Metasurface (ATOM)

    SBC: Physical Sciences Inc.            Topic: HR001119S003524

    Metalenses, with their ability to arbitrarily control the amplitude and phase of light across a band of wavelengths, have the potential to disrupt imaging and communication systems which rely on traditional lenses to focus, collimate, and otherwise manipulate optical signals, and are under increasing pressure to operate with reduced size and weight. We propose to design, develop, and demonstrate a ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  3. Variable Leg Length Ground Robot with Novel Prismatic Actuators

    SBC: Triton Systems, Inc.            Topic: HR001119S003523

    Triton Systems, Inc. will work in collaboration with Professor Mark Yim of the University of Pennsylvania (UPenn) to design a viable, robust ground robot with novel, reconfigurable actuators. This robot can reconfigure from a wheeled state to a legged state, enabling it to overcome tall obstacles and rough terrain. This ground robot will also be of a modular nature, able to be combined with others ...

    STTR Phase I 2020 Department of DefenseDefense Advanced Research Projects Agency
  4. Multimode Organic Scintillators for Neutron/Gamma Detection

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA19B003

    There is significant interest in multi-functional materials enabling gamma-ray spectroscopy, neutron/gamma pulse shape discrimination (PSD), ultra-fast response, and time-of-flight (TOF) neutron detection. These materials would be used in a variety of mission scenarios for the localization and monitoring of special nuclear materials. Commercial inorganic scintillators offer some of these character ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
  5. Multiferroic Materials for RF Applications

    SBC: Winchester Technologies, LLC            Topic: ST13B003

    Voltage tunable multiferroic materials with strong magnetoelectric coupling provide a unique approach to compact, lightweight and power efficient tunable RF/microwave multiferroic components, such as tunable inductors, filters, phase shifters, etc. The tu

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
  6. Wideband Tunable Multiferroic Electronics for Advanced RF Systems (1000-277)

    SBC: SI2 TECHNOLOGIES, INC.            Topic: ST13B003

    SI2 Technologies proposes to design, model, fabricate and transition wideband tunable multiferroic electronics for advanced RF systems including adaptive Radar, software defined radios and other electronic warfare (EW) applications. Combining novel nanost

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
  7. Data-Parallel Analytics on Graphics Processing Units (GPUs)

    SBC: SYSTAP, LLC            Topic: ST13B004

    The proposed effort will extend existing proofs of concept and advanced research systems to: (a) provide an efficient, low-level, data-parallel runtime for graph processing on GPUs; (b) provide a high-level abstraction for writing graph analytics that are

    STTR Phase I 2014 Department of DefenseDefense Advanced Research Projects Agency
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