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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Products for Fabrication of Atomically Precise Strongly Correlated Materials

    SBC: Zyvex Labs LLC            Topic: ST17C002

    This STTR will develop atomically precise fabrication and measurement technology that will enable a new experimental regime to study the physics of strongly correlated quantum systems.The fabrication techniques are based primarily on Hydrogen Depassivation Lithography (HDL) which uses Scanning Tunneling Microscope technology to create atomically precise patterns of H on a Si (100) 2x1 surface in a ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. Assess Stability and Anti-Fragility of Dense Urban Terrains

    SBC: Cordillera Applications Group, Inc.            Topic: ST17C003

    The objective of this proposal is to examine the feasibility of defining and measuring key dimensions of an urban system to include its essential functions and networks, and whether they can be modelled in a computational framework for assessing robustness and resilience of DUTs (and their tipping points) under conditions of volatility and stress. This proposal will conduct a comprehensive review ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  3. Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)

    SBC: Intelligent Automation, Inc.            Topic: AF12BT02

    ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF12BT09

    ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Robust Decision Tool for Persistent Space Self Defense Systems

    SBC: Intelligent Automation, Inc.            Topic: AF12BT09

    ABSTRACT: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...

    STTR Phase I 2013 Department of DefenseAir Force
  6. Soft and Elastomeric Intramuscular Electrode with Therapeutic Delivery Capability

    SBC: TDA Research, Inc.            Topic: A13AT019

    Approximately 5-6% of military injuries involve some form of major peripheral nerve injury with little chance of spontaneous healing. Currently these injuries lead to major impairment of voluntary muscle function in the limbs and extremities, making tasks of walking, reaching, grasping, etc. very difficult or impossible for many patients. It is not enough to focus therapeutic treatment on the se ...

    STTR Phase I 2013 Department of DefenseArmy
  7. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Oxygen Production and Delivery on Demand

    SBC: GLOBAL RESEARCH & DEVELOPMENT, INC.            Topic: DHA17B005

    This proposal is in response to the Defense Health Agency 2017 Phase I SBIR topic 17B-005.The approach is the use of a membrane oxygen pump using newly developed nano-thickness membranes with all the layers less than 1 micron total.Nanometer thickness membranes enable more oxygen output per surface area at temperatures of 300-600 C than current state-of-the -art 600-800 C membranes that are 50-300 ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  9. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
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