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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. Anisotropic Property Manipulation of Selective Laser Melted GRCop-84

    SBC: SPECIAL AEROSPACE SERVICES            Topic: AF18AT009

    In partnership with the Colorado School of Mines Alliance for the Development of Additive Processing Technologies and with support from the Johns Hopkins University Energetic Research Group, Special Aerospace Services will provide the Air Force with characterization of fully dense Selective Laser Melted GRCop-84 subjected to a variety of manipulations that affect key performance metrics for regene ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  3. Complex Object Reflectance Characterization System (CORCS)

    SBC: NUTRONICS, INC.            Topic: AF18AT007

    Nutronics, Inc. and Montana State University propose to develop a method for characterization of the full Mueller matrix for reflective scattering from a test object. The Complex Object Reflectance Characterization System (CORCS) will initially be designed for laboratory use and characterization of test objects by active imaging to measure both the Mueller Matrix and the target depth associated wi ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Self-Calibrating, Conformal Nanomembrane based Pressure Sensors for Embedded Sensing Applications

    SBC: NANOSONIC INC.            Topic: AF18AT002

    This Air Force Phase I STTR program would develop self-calibrating, conformal nanomembrane (NM) based pressure sensors for embedded sensing applications, using SOI (Silicon on Insulator) NM techniques in combination with our pioneering nanocomposite materials.Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices that ca ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Integrated ultra-high performance electro-optic modulators

    SBC: SRICO INC            Topic: AF18AT003

    This proposed project combines advanced thin film materials engineering technology with state of the art photonic integrated circuit device concepts to develop next generation integrated electro-optic modulator devices. The proposed high speed thin film electro-optic modulator technology fills a critical need for compact, low voltage, and high analog bandwidth linear electro-optic modulators in si ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Volumetric Wavefront Sensing for the Characterization of Distributed-Volume Aberrations

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT006

    Modern Directed Energy (DE) missions require target engagements at low elevation angles and long ranges.These engagement geometries require propagation through distributed-volume turbulence. To correct for distributed-volume turbulence effects, an estimation of the turbulence along the propagation path is required. Correcting for these image aberrations will improve the quality of the target image ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Application of Hierarchical Memory Models to Automatic Target Recognition Modeling and Simulation

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: AF18AT014

    This SBIR Phase I project proposes a visual processing system for automated target recognition. Inspired by biological vision systems and hierarchical memory models, the proposed system is capable of learning hierarchical invariant features from unlabeled data that are independent of object labels. The model exploits these learned features to create hierarchical representations of target memories ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Volume Digital Holographic Wavefront Sensor

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Nutronics, Inc. and Montana State University propose to develop and evaluate computational methods for a Volume Digital Holographic Wavefront Sensor (VDHWFS).VDHWFS based imaging offers the potential to provide the equivalent of wide field of view adaptive optics (AO) compensated imaging, but without the added complexity of AO components and hardware.Recent result for coherent imaging developed by ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. High Temperature Materials for Hypersonic Radomes and Antennas

    SBC: AMERICAN TECHNICAL COATINGS, INC.            Topic: AF18AT013

    The advancement of flight vehicles, including hypersonic vehicles, requires increased performance from RF shielding material capable of withstanding the dynamic and thermal loads of the vehicle while maintaining RF performance.Efforts conducted as a response to this program will develop and characterize material for use as radomes and conformal apertures of flight vehicles and other extreme enviro ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Non-Linear Adaptive Optics (NLAO)

    SBC: NUTRONICS, INC.            Topic: AF18AT008

    Nutronics, Inc. and Montana State University propose to develop an approach for non-linear control of hysteresis and incorporate (if necessary) integrated Multi-Input-Multi-Output real time control with this capability.Our control systems already include a proven high speed real time control approach to determine the optimal set of actuator commands that satisfy inter-actuator stroke limitations.O ...

    STTR Phase I 2018 Department of DefenseAir Force
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