You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Novel Nanocoating technology for Functional Textile

    SBC: Claros Technologies Inc.            Topic: A18BT024

    Nanoparticles represent an attractive alternative in coating processes due to their functional versatility, including surface, optical, conductive and catalytic properties. However, current processes of coating textile products with nanoparticles results in rapid loss of the nanoparticles during laundering or use, leading to a significant decrease in product durability and functionality and increa ...

    STTR Phase I 2019 Department of DefenseArmy
  2. 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
  3. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination

    SBC: FOLDED STRUCTURES COMPANY LLC            Topic: A10AT020

    Topological data analysis is a new mathematical method used to study these massive data sets that arise in a variety of situations including military operations and national security. The use of passive infrared sensors for a wide area detection system involving chemical and biological contaminants produces massive amounts of hyperspectral image data. Recent research in this area include fast al ...

    STTR Phase I 2010 Department of DefenseArmy
  4. DIPAIN based assay for the T-2 Toxin

    SBC: L. C. PEGASUS CORP.            Topic: A10AT021

    This proposed project is to develop a rapid assay for T-2 Toxin. Under this project we will develop DIPAIN-derivative based test-strips that indicate the presence of trace quantities of trichothecene mycotoxins in aqueous solutions. The T-2 toxin will be used as a test case for this effort. We will use of 2-(diphenylacetyl)-l,3-indanedione-l-hydrazone (DIPAIN II) and its derivatives as reagents o ...

    STTR Phase I 2010 Department of DefenseArmy
  5. MEMS based thermopile infrared detector array for chemical and biological sensing

    SBC: New Jersey Microsystems, Inc.            Topic: A10AT004

    New Jersey Microsystems proposes to develop an economical thermopile array with sensitivity maximum in the long wave infrared region (LWIR). Current infrared detectors are too expensive to be widely deployed in large numbers. The proposed MEMS technology is simpler, more manufacturable, and therefore less expensive than bolometer and ferroelectric devices with competitive D* sensitivity. The th ...

    STTR Phase I 2010 Department of DefenseArmy
  6. 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
  7. Incremental Learning for Robot Sensing and Control

    SBC: Net-Scale Technologies, Inc.            Topic: A09AT030

    This proposal addresses key open challenges identified during the LAGR program for the practical use of adaptive, vision-based robot navigation in commercial settings. First, the adaptive vision system learns quickly, but forgets as quickly. This will be addressed by using an ensemble of "expert" classifiers, each of which specializes for a particular environment and can be quickly activated when ...

    STTR Phase I 2010 Department of DefenseArmy
US Flag An Official Website of the United States Government