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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. Small Team Command, Control, Communications and Situational Awareness (C3SA), SOCOM08-001

    SBC: CEEBUS TECHNOLOGIES, LLC            Topic: SOCOM08001

    SOF combat swimmers have a need for the continuous monitoring of each others relative position while diving and for the capability of being able to communicate with each other to help establish a common operational picture (COP).The C3SA system was previously developed under SBIR Topic SOCOM08-001 thru the receipt of both Phase I and Phase II SBIR awards.The C3SA established a stand-alone network ...

    STTR Phase II 2018 Department of DefenseSpecial Operations Command
  2. Robust-Mode Analysis, Reduced-Order Modeling, and Intelligent Control Strategies for Reacting and Non-Reacting Flows

    SBC: Spectral Energies, LLC            Topic: AF12BT15

    This Phase-II STTR research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based on non ...

    STTR Phase II 2018 Department of DefenseAir Force
  3. Meso-scale Framework for Simulating the Response of Structural Reactive Materials to Shock Loading

    SBC: STREAMLINE NUMERICS, INC.            Topic: AF16AT23

    Structural reactive materials (SRMs) or multifunctional energetic materials offer the ability to combine the high energy release rates of traditional high explosives with structural strength.When successfully formulated they can lead to light-weight, high-performance and hitherto inaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so than ...

    STTR Phase II 2018 Department of DefenseAir Force
  4. An Immersed Boundary Framework for Topology Optimization of Nonlinear Thermoelastic Structures with Internal Radiation

    SBC: Spectral Energies, LLC            Topic: AF17AT015

    Thermoelastic structures pose a critical challenge to designers due to the inherent design dependence of thermal loading on structural thickness. This is further exacerbated by structural nonlinearity due to in-plane, and more importantly, the out-of-plane bending deformation that further increases the effective loading on the structure. During Phase I of this project, we have added significant ne ...

    STTR Phase II 2018 Department of DefenseAir Force
  5. KHz-MHz Rate Laser-Based Tracking of Particles and Product Gases for Multiphase Blast

    SBC: Spectral Energies, LLC            Topic: AF17AT020

    The overall goal of the proposed research program is to develop a ruggedized imaging system capable of visualization and analysis of the particle field and product gases in a multiphase blast. This will be accomplished by combining kHz-MHz-rate burst-mode laser technology with tomographic particle field velocimetry (PFV) and new nonlinear particle tracking methods to resolve dense particle fields. ...

    STTR Phase II 2018 Department of DefenseAir Force
  6. High speed, multispectral, linear polarization display

    SBC: Polaris Sensor Technologies, Inc.            Topic: AF17AT021

    To understand how insects and crustaceans sense and process light fields, researchers need a projection system that provides realistic wide field of view (FOV), high-speed imagery from UV to red (320-650nm) that includes polarization control. Insects and crustaceans have vastly different visual acuity and wavelength response from humans. In addition, some can sense polarization. Therefore, commerc ...

    STTR Phase II 2018 Department of DefenseAir Force
  7. Plasmonic Metamaterial Approach to Infrared Scene Projection

    SBC: Plasmonics Inc.            Topic: AF17AT022

    As both the response speed and sensitivity of thermal imagers have improved significantly over recent years, new IRSP systems are needed to provide greater dynamic range and faster response speeds. Addressing these issues, as well as producing a cost effective and modular IRSP system will be critical for providing quality scene projection for the next generation of infrared imagers. To address the ...

    STTR Phase II 2018 Department of DefenseAir Force
  8. Coupled Multi-Physics Tool for Analysis of Structural Profile Disruption Effects of Aerovehicles

    SBC: CFD Research Corporation            Topic: AF17AT025

    High speed air vehicles operate at material strength performance limits and are at significant risk when subjected to additional localized heating that can result in softening, pitting and burn-through the material and potentially change the vehicle structural profile. These effects degrade aerodynamic performance. The team of CFDRC and UDRI proposed to develop, validate and deliver a comprehensiv ...

    STTR Phase II 2018 Department of DefenseAir Force
  9. Midwave Infared (MWIR) Quantum Cascade Lasers (QCL) Thermal Monitoring

    SBC: Max-IR Labs Incorporated            Topic: AF17AT026

    Max-IR Labs LLC, in collaboration with UT Dallas, successfully demonstrated construction and operation of a prototype Infrared Near-Field Scanning Optical Microscopy (IR-SNOM) instrument for high-spatial-resolution thermal mapping of small heat sources, in particular Quantum Cascade Laser (QCL) facets, during Phase I.Preliminary data demonstrated feasibility of implementation of this instrument an ...

    STTR Phase II 2018 Department of DefenseAir Force
  10. Target Tracking via Deep Learning

    SBC: Systems & Technology Research LLC            Topic: AF17AT027

    To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to continue developing DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system combines a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-ai ...

    STTR Phase II 2018 Department of DefenseAir Force
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