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Award Data

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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. VANESSA: Virtual Analysis Networks and Explanations for Social Sensing Analysis

    SBC: Smart Information Flow Technologies, LLC            Topic: A18BT008

    SIFT, JHU medicine and University of Central Florida are proposing to develop VANESSA (Virtual Analysis Networks and Explanations for Social Sensing Analysis) - a social sensing platform providing team diagnostics of interacting teams and recommendations for enhanced team functioning of human and human-cyber teams. The overall goal of VANESSA is to develop an adaptive technology platform with a fo ...

    STTR Phase I 2019 Department of DefenseArmy
  2. 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
  3. 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
  4. Solar Blind MgZnO Photodetectors

    SBC: Agnitron Technology            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
  5. 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
  6. Scalable Manufacturing of Functional Yarns for Textile Energy Storage

    SBC: Storagenergy Technologies, Inc.            Topic: A17AT013

    To further accelerate the commercialization process of our supercapactior yarns, we plan to further lower the production cost, enhance our yearn performance and optimize customer experience via materials and process engineering and innovative platform development. The major deliverable of this sequential Phase II project is to demonstrate the throughput capacity of a large area supercapactior fabr ...

    STTR Phase II 2019 Department of DefenseArmy
  7. Runnable Environment for Team Effectiveness and Assessment Metrics (re-TEAM)

    SBC: Modus Operandi, Inc.            Topic: A18BT008

    The most critical component of any modern enterprise is effective use of its human resources. The rise of productivity-boosting applications and wearable sensors has provided individual users with data-driven insights into their own effectiveness. Despite these advancements there has not been a corresponding rise in tools for evaluating and improving the effectiveness of teams as a whole. New wear ...

    STTR Phase I 2019 Department of DefenseArmy
  8. 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
  9. 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
  10. Pulse Voltammetry Tools for Accurate and Rapid Analysis of Batteries

    SBC: CFD Research Corporation            Topic: A152092

    Pulse voltammetry techniques, coupled with model-based analysis tools, provide a number of advantages for quantitative analysis of electrochemically active materials that govern the performance of batteries and fuel cells. In prior Phase I and II research, CFD Research developed and validated computational models in software that reads voltammogram data from laboratory instruments; predicts the re ...

    STTR Phase II 2019 Department of DefenseArmy
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