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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. Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Additive Manufacturing for Naval Aviation Battery Applications

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: N18AT008

    Storagenergy Technologies Inc. proposes to develop an all solid-state battery (ASSB) which can be made by a high-speed AMtechnology.

    STTR Phase I 2018 Department of DefenseNavy
  3. 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
  4. An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing

    SBC: Citrine Informatics, Inc.            Topic: N18AT013

    In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Concrete Materials Characterization (COMAC)

    SBC: Luminit LLC            Topic: N18AT006

    To meet the U.S. Navy, specifically PMA-201, need for nondestructive evaluation (NDE) of concrete, including evaluating its strength, material properties, and damage localization, Luminit, LLC, and Southern Illinois University (SIU) propose to develop a novel Concrete Materials Characterization (COMAC) system, combining several methods of concrete characterization into a single sensor/software com ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Development of Large Area GaN Substrates for Vertical Power Electronics

    SBC: KYMA TECHNOLOGIES, INC.            Topic: N18AT004

    This program will further the development of large area freestanding GaN substrates (>100mm) and develop a bulk GaN substrate characterization protocol to help reduce the variability in GaN homoepitaxial growth results which have prevented low cost, high voltage, vertical GaN power devices from being realized in an economically viable way.

    STTR Phase I 2018 Department of DefenseNavy
  7. Full Featured Low-Cost HMS for Combatant Craft

    SBC: QUALTECH SYSTEMS, INC.            Topic: N18AT015

    Qualtech Systems, Inc. (QSI), in collaboration with VU proposes to develop a state-of-the art HMS system featuring: (1) Low Hardware cost by leveraging industrial-grade computers ruggedized to military specifications (2) Low Software cost by leveraging QSI’s COTS TEAMS software with real-time monitoring and diagnosis capabilities (3) Vibration and Shock Analysis and its impact on vehicle and cre ...

    STTR Phase I 2018 Department of DefenseNavy
  8. High Throughput Testing of Additive Manufacturing

    SBC: CORVID TECHNOLOGIES, LLC            Topic: N18AT028

    Additive manufacturing (AM) fills a technical need for the US Navy to produce on-site, on-demand, cost efficient parts. However, the lack of established procedures for AM machines and processes introduces significant variability in their mechanical behavior. A high throughput method is needed to characterize the variability in the mechanical properties of AM materials using large statistics. To me ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  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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