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Award Data

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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. THz and Sub-THz MEMS-Fabricated Klystron Amplifier

    SBC: INNOSYS, INC.            Topic: A09AT016

    InnoSys and Purdue University will continue to research and develop robust Phase I approaches for building, implementing and demonstrating a new class of terahertz (THz) vacuum electronic device (VED) power amplifiers and power sources at frequencies in the range of 0.3-3.0 THz (the THz regime) employing advanced micro electro mechanical system (MEMS) and vacuum technology and processes. There is ...

    STTR Phase II 2010 Department of DefenseArmy
  2. Solar Blind MgZnO Photodetectors

    SBC: AGNITRON TECHNOLOGY, INC            Topic: A13AT006

    This Phase I program is focused on enhancement of the performance of MgZnO based solar blind detectors. MgZnO alloys have superior optoelectronic properties with bandgaps suitable for solar blind detection. Issues related to doping and miscibility will be addressed. This will involve the use of advanced MOCVD and MBE growth techniques and consideration of both Schottky and p-n junction devices. No ...

    STTR Phase I 2013 Department of DefenseArmy
  3. Scalable Manufacturing of Graphite Yarn via Wet Spinning Process

    SBC: Storagenergy Technologies, Inc.            Topic: A17AT013

    Scalable, inexpensive manufacturing processes that produce yarns capable of storing energy are required for new breakthroughs within the wearable electronics sector. To enable to further improve the properties of yarn-based electrochemical performance in energy-storage systems, fiber-based yarns are proposed and developed via a scalable and cost effective wet spinning manufacturing process, and la ...

    STTR Phase II 2018 Department of DefenseArmy
  4. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10AT012

    Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the curr ...

    STTR Phase I 2010 Department of DefenseArmy
  5. Random Number Generation for High Performance Computing

    SBC: Silicon Informatics, Inc.            Topic: A10aT012

    A parallel random number generation suite that generates, dynamically, millions of parallel pseduorandom number streams suitable for consumption by high performance computing (HPC) applications on various platforms will be implemented, tested, and provided to Government, academic and private HPC users for their evaluation and use. The software will be tuned for scalability, repeatability and effic ...

    STTR Phase II 2013 Department of DefenseArmy
  6. Provably Unclonable Functions on Re-configurable Devices

    SBC: IERUS TECHNOLOGIES, INC            Topic: A18BT001

    The ability to authenticate electronic devices is an important step towards modernizing the hardware/software of our Nations communication systems. Protecting these targeted networks and devices from malicious cyber-based attacks is becoming increasingly important as the technological and cyber capabilities of our adversaries continue to advance. In addition to network security, device authenticat ...

    STTR Phase I 2018 Department of DefenseArmy
  7. Plasmonic MEMS Sensor Array

    SBC: Five Stones Research Corporation            Topic: A10AT002

    Sensor development researchers and engineers have perpetually sought novel methods to reduce sensor size and improve performance. Continued miniaturization of sensors through micromachining has enabled novel applications and introduced new paradigms for engineered systems to interact with the world. The challenge has always been to improve performance while continually reducing size. In the cur ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Plasmonic MEMS Sensor Array

    SBC: Five Stones Research Corporation            Topic: A10aT002

    Sensor development researchers and engineers have perpetually sought novel methods to reduce sensor size and improve performance. Continued miniaturization of sensors through micromachining has enabled novel applications and introduced new paradigms for engineered systems to interact with the world. The challenge has always been to improve performance while continually reducing size. In the curren ...

    STTR Phase II 2013 Department of DefenseArmy
  9. Passive Infrared Detection of Aerosolized Bacterial Spores

    SBC: Decibel Research, Inc.            Topic: A10AT019

    deciBel Research and our university partner, Rochester Institute of Technology (RIT)-Center for Imaging Science, propose to develop a dual MWIR/LWIR imaging polarimeter for the detection and discrimination of aerosolized biological spores. The system will exploit spectral absorption and MIE scattering-induced radiometric and polarimetric phenomenon exhibited by clouds of aerosolized biological spo ...

    STTR Phase I 2010 Department of DefenseArmy
  10. On-Chip Passive Phase-Locking for High Coherent Power, Mid-IR Quantum Cascade Lasers

    SBC: INTRABAND, LLC            Topic: A10AT007

    The technical objectives of this proposal are: 1) the design of 8 micron-emitting active-photonic-crystal (APC) quantum-cascade (QC) lasers by using passive phase-locking in a monolithic structure in order to achieve multiwatt-range, diffraction-limited powers; and 2) the development of the key fabrication steps for realizing the proposed APC QC laser. Deep-well (DW) QC lasers will be used in the ...

    STTR Phase I 2010 Department of DefenseArmy
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