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. Computational Biology Platform Technology for Cellular Reprogramming

    SBC: IREPROGRAM, LLC            Topic: ST17C001

    Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. Properties Investigation of High-MON Oxidizers for Use in Deep Space Exploration

    SBC: Frontier Aerospace Corporation            Topic: T9

    Rocket propulsion for deep space applications typically use liquid propellants for axial stage and attitude control systems. The most common propellants are hydrazine (N2H4) and monomethylhydrazine (MMH) (CH3N2H3) for the fuels, and nitrogen tetroxide (NTO) (N2O4) for the oxidizer. The freezing points of both hydrazine and NTO approach room temperature and require on-board electrical heaters for t ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  3. 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
  4. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: PERCEPTRONICS SOLUTIONS, INC.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Automated Fiber Placement of Thin-Ply Composite Materials for Large Aerospace Structures

    SBC: NextGen Materials & Processing LLC            Topic: T12

    Leveraging their prior experience working with automated fiber placement (AFP) of thin-ply composite materials, NextGen Materials & Processing LLC and the University of Massachusetts Lowell will utilize a Design of Experiments approach, combined with analytical modeling, to identify the critical material, slitting, spooling, and AFP parameters that influence the repeatable, high quality laydown of ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  7. Bifunctional Regenerative Electrochemical Air Transformation for Human Environments

    SBC: Skyre, Inc.            Topic: T6

    The proposed Bifunctional Regenerative Electrochemical Air Transformation for Human Environments (BREATHE) for life support and habitation is part of the atmosphere revitalization equipment necessary to provide and maintain a livable environment within the pressurized cabin of crewed spacecraft. Sustainable Innovations (SI) has developed a novel solid state technology for gas compression based on ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  8. Intelligent, Autonomous, Distributed Vehicle and Electrical Power System Management

    SBC: Stottler Henke Associates, Inc.            Topic: T3

    The proposed innovation, a distributed architecture for intelligent characterization, fault detection/diagnosis/ reconfiguration/replanning/rescheduling, and adaptive execution, substantially leverages large previous NASA investments to assemble the correct set of technologies to implement all aspects of the required intelligent, autonomous vehicle and distributed EPS and other subsystem managers. ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  9. Efficient CO2 and H2O Removal with Novel Adsorbentsfor Life Support Applications on Mars

    SBC: MOSAIC MATERIALS, INC.            Topic: T6

    Very low CO2 concentrations that accumulate quickly from human respiration can have dramatic health effects, and thus in NASA’s history many technical removal strategies for CO2 from a confined atmosphere have been suggested and explored. A CO2 removal system that functions in a is a new area of research, as the primary CO2 removal component in the state-of-the-art system doesn’t have the adso ...

    STTR Phase I 2018 National Aeronautics and Space Administration
  10. Integrated Photonic Filters for RF Signal Processing

    SBC: OEWAVES, INC.            Topic: T8

    In this Project, OEwaves Inc. and Georgia Tech team propose to research and develop a unique RF photonic receiver front-end enabling microwave signal processing at a heterogeneously integrated photonic platform. In particular, we propose to develop a new technology for photonic microwave filters based on the new advances in Si-based integrated photonics. We will exploit the expertise of the team m ...

    STTR Phase I 2018 National Aeronautics and Space Administration
US Flag An Official Website of the United States Government