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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. III-nitride 1.5 Micron Photonic Devices on Si Substrates

    SBC: III-N Technology, Inc            Topic: A10AT015

    Research in silicon photonics has received much attention in recent years for its potential to utilize well developed silicon processing technology. A broad range of linear and nonlinear silicon photonic devices such as modulators, splitters, switches and detectors have been demonstrated. However, the most important challenge in silicon photonics thus far is the difficulty of making electrically p ...

    STTR Phase I 2010 Department of DefenseArmy
  2. 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
  3. 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
  4. Ultrafine Grained Steel and Nickel Based Alloy Manufacturing

    SBC: M4 SCIENCES CORPORATION            Topic: A10AT001

    This STTR project seeks to develop a new manufacturing system for large-scale, low-cost production of bulk ultrafine grained (UFG) or nanostructured metals in plate, sheet or bar forms. These capabilities will be based on scale-up of a new class of machining-based processes called large strain extrusion machining (LSEM) that has been effective at creating high strength, nanoscale microstructures i ...

    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. Compact & Ultra-High Resolution Terahertz Spectroscopic/Fingerprint System

    SBC: N.P. PHOTONICS, INC.            Topic: A10AT013

    NP Photonics proposes to develop a fiber-based, compact, tunable, THz spectroscopic/fingerprinting system that offers ultra-high resolution (< 1 MHz), high sensitivity and room temperature operation over the 1-3 THz range. This proposed system will provide high resolution molecular fingerprint information by leveraging NP Photonics high power and narrow linewidth fiber-based THz source, which is b ...

    STTR Phase I 2010 Department of DefenseArmy
  7. Resonant Cavity Enhanced On-Chip Raman Spectrometer Array with Precisely Positioned Metallic Nano-Gaps for Single Molecule Detection

    SBC: OMEGA OPTICS, INC.            Topic: A10AT014

    In this program, Omega Optics and the University of Texas at Austin propose to develop an on-chip surface-enhanced Raman scattering (SERS) spectrometer array for single molecule detection. The sensitivity of the SERS spectrometer comes from the 5-nm gap between gold nanowires, which can achieve 108 enhancement factor (EF) for the Raman scattering signals. Especially, these gold nanowires are preci ...

    STTR Phase I 2010 Department of DefenseArmy
  8. Leader-Following for Mobile Robots

    SBC: Traclabs Inc.            Topic: A10AT030

    TRACLabs Inc. has worked with NASA to create indoor/outdoor, vision-based leader-following systems for sparse, extra-terrestrial environments. Brown University's Robotics Group has demonstrated leader-following and gesture recognition in high-traffic, dynamic, indoor environments using active lidar sensing. We propose to combine our technologies in order to create a passive sensing system that w ...

    STTR Phase I 2010 Department of DefenseArmy
  9. 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
  10. 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
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