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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.

  1. Advanced Plasma Processing System for Polution Control

    SBC: FIRST POINT SCIENTIFIC, INC.            Topic: N/A

    N/A

    STTR Phase I 1999 National Science Foundation
  2. Autonomous Undersea Systems Network (AUSNET)

    SBC: Technology Systems Inc.            Topic: N/A

    his STTR Phase II project will result in the creation of an advanced network capability to enable ad-hoc networks to operate in a low bandwidth undersea environment. The specific application of the resultant capability will be to support Autonomous Undersea Systems Networks (AUSNET), which are fleets of unmanned robotic vehicles that can provide survey, search, and monitoring functions for custome ...

    STTR Phase I 2002 National Science Foundation
  3. Cell-Mimic Optical Waveguide Sensor for Real-Time In-Line Biological Pathogen Detection

    SBC: Physical Optics Corporation            Topic: N/A

    N/A

    STTR Phase I 1998 National Science Foundation
  4. Continuous On-Line Monitor to Detect and Quantify Inorganic Contaminants in Water

    SBC: BRIMS NESS CORP.            Topic: N/A

    N/A

    STTR Phase I 1999 National Science Foundation
  5. Development of an Escherichia coli Detection System for Liquid Food Applications

    SBC: BIODE, INC.            Topic: N/A

    N/A

    STTR Phase I 1998 National Science Foundation
  6. Enhanced High Volume Reinforced Al/SiC Metal Matrix Composites

    SBC: Powdermet, Inc.            Topic: N/A

    This Small Business Technology Transfer (STTR) project will develop advanced, nano-engineered thermal spray powders for producing composite coatings with revolutionary enhancements in performance. The Phase I project demonstrated the production of high volume reinforced (25-65 wt % SiC) aluminum and nickel matrix composite materials using CVD fluid bed coated powders and low cost consolidation tec ...

    STTR Phase I 2002 National Science Foundation
  7. Exploiting the Mating Phenotype of Chlamydomonas reinhardtii to Enhance Harvesting in Large-Scale Oil Production from Algae

    SBC: KENT SEATECH CORPORATION            Topic: A10

    This STTR Phase I project proposes to develop and establish a novel clumping (flocculation) strain of algal using an engineered extracellar protein that can be induced. The overarching goal is to provide the industry with a novel, energy efficient, and cost effective tool to dewater microalgae. What are the broader/commercial impacts of the proposed project? The broader/commercial impact of the p ...

    STTR Phase I 2010 National Science Foundation
  8. High Intensity, High Brightness Source of Low Energy Positrons Based on the Generation of Free Nitrogen-13

    SBC: FIRST POINT SCIENTIFIC, INC.            Topic: N/A

    This Small Business Technology Transfer (STTR) Phase I project will develop a novel positron source based on the generation of free 13 N produced via the 12 C(d,n) 13 N reaction. In a major advance over existing technologies, the 13 N will be extracted as nitrogen gas from a porous carbon target, fed to a remote location, and condensed onto a small diameter spot. A layer of solid Ne will moderate ...

    STTR Phase I 2002 National Science Foundation
  9. High Speed Instrumentation for Real Time Biological Imaging

    SBC: NanoDevices, Inc.            Topic: N/A

    N/A

    STTR Phase I 2001 National Science Foundation
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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