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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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. MEMS based thermopile infrared detector array for chemical and biological sensing

    SBC: BFE Acquisition Sub II, LLC            Topic: A10AT004

    Thermopile arrays manufactured using integrated process compatible materials and micro-machining will provide high performance with low manufacturing cost. Black Forest Engineering (BFE) teamed with Case Western Reserve University will design thermopiles using silicon based semiconductors and compare performance. Low cost thermopiles, differentially coupled with advanced BFE CMOS readout, will pr ...

    STTR Phase I 2010 Department of DefenseArmy
  2. Narrowband microbolometer arrays for infrared chemical sensing

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: A10AT023

    This Small Business Technology Transfer Research program will develop narrow band plasmonic resonant cavity filters with integrated microbolometer sensors operating in the long wave infrared (LWIR) atmospheric transmission band for IR absorption measurements of low concentration chemicals. IR spectroscopy can identify a wide range of contaminants, including chemical/biological warfare agents, exp ...

    STTR Phase I 2010 Department of DefenseArmy
  3. Decontamination storage bags for chemical and biological warfare agents

    SBC: MATERIALS MODIFICATIONS INC            Topic: A10AT003

    This STTR Phase I project will develop a novel toxic material storage bag with an inner liner capable of decontaminating chemical and biological warfare agents (CBWA’s).. The inner-liner technology would entail adsorption and decomposition of warfare agents without the release of toxic agents, and will result in a storage bag capable of being disposed of in an environmentally safe fashion. The ...

    STTR Phase I 2010 Department of DefenseArmy
  4. Cooperative Deployment of Next Generation Chemical Standoff Sensors

    SBC: MESH INC            Topic: A10AT022

    MESH, Inc. has developed a method to take data from multiple fixed site standoff sensors and generate concentration maps using either triangulation or tomography. The programs that MESH has developed will be modified to allow standoff from moving platforms to be used in the data merging process. A simulation suite of tools, also developed by MESH, will be used to set the requirements on the accu ...

    STTR Phase I 2010 Department of DefenseArmy
  5. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination MP 39-10

    SBC: METRON INCORPORATED            Topic: A10AT020

    Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

    STTR Phase I 2010 Department of DefenseArmy
  6. Non-destructive Exfoliation and Drying of Anisotropic Nanomaterials

    SBC: NANOSONIC INC.            Topic: A09AT021

    The overall goal of this proposed Army STTR is to demonstrate low-cost, non-destructive methodologies for non-agglomerating drying of anisotropic nanomaterials. NanoSonic and Virginia Tech will work in tandem to demonstrate novel approaches involving both high performance coatings and CO2 processing that facilitate gentle, simultaneous drying and exfoliation of nanoparticles, preventing agglomera ...

    STTR Phase I 2010 Department of DefenseArmy
  7. Incremental Learning for Robot Sensing and Control

    SBC: SET ASSOC. CORP.            Topic: A09AT030

    SET Corporation, together with Carnegie Mellon University''s National Robotics Engineering Center (NREC), will develop a system that leverages state-of-the-art sensing, perception, and machine learning to provide trafficability assessments for UGVs for agricultural, security and military applications. It will consist of a set of proprioceptive and exteroceptive sensors that provide rich data about ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Perception-driven Casualty Manipulation to Enable Near-Autonomous Robotic Extraction and Evacuation

    SBC: SKEYES UNLIMITED CORP.            Topic: A10AT028

    Historically, the combat medic has had one of the most important yet life-threatening roles on the battlefield. They must find, assess, treat and extract fellow injured soldiers in extremely hazardous conditions, sometimes with little or no additional support. Because of this, medics and other first responders are often injured or even killed while attending to wounded soldiers. To properly addres ...

    STTR Phase I 2010 Department of DefenseArmy
  9. Multi-input Multi-output Synthetic Aperture Radar with Collocated Antennas

    SBC: TRIDENT SYSTEMS LLC            Topic: A10AT005

    The enormous effort devoted to the data acquisition, signal processing, and automatic recognition of stationary targets has resulted in a generation of synthetic aperture radar (SAR) systems that are meeting the challenge of real-world conditions. However, in a practical battlefield, moving targets may pose a more severe threat than stationary targets. Many high value targets are only vulnerable w ...

    STTR Phase I 2010 Department of DefenseArmy
  10. 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
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