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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. Provably Unclonable Functions on Re-configurable Devices

    SBC: IERUS TECHNOLOGIES INC            Topic: A18BT001

    The ability to authenticate electronic devices is an important step towards modernizing the hardware/software of our Nations communication systems. Protecting these targeted networks and devices from malicious cyber-based attacks is becoming increasingly important as the technological and cyber capabilities of our adversaries continue to advance. In addition to network security, device authenticat ...

    STTR Phase I 2018 Department of DefenseArmy
  2. Blended Reality Solution for Live, Virtual, and Constructive Field Training

    SBC: SA PHOTONICS, LLC            Topic: AF17AT011

    A Battlefield Airman (BA) has one of the most challenging positions in the military. BA personnel are tasked with the dual roles of being warfighters as well as Combat Controllers, Pararescuemen, Tactical Air Control Party (TACP) members and Special Operations Weather Technicians often while behind enemy lines. These complex duties require high fidelity training. In some cases, such as Pararescuem ...

    STTR Phase II 2018 Department of DefenseAir Force
  3. 3D Tomographic Scanning Microwave Microscopy with Nanometer Resolution

    SBC: Alcatera Inc.            Topic: A17AT008

    Scanning probe microscopy (SPM) is a technique used to detect near-field interaction when a sample is rater-scanned by a probe. Example include atomic force microscope (AFM) and scanning tunneling microscope (STM). It offers nanometric and atomic image resolution. In this field, an emerging technique, Near-Field Scanning Microwave Microscopy (SMM), utilizes microwave evanescent waves to attain the ...

    STTR Phase II 2018 Department of DefenseArmy
  4. Multiple Hit Performance of Small Arms Protective Armor

    SBC: TRANSPARENT ARMOR SOLUTIONS INC.            Topic: A14AT017

    Our nation’s warfighters require advanced armor to give them the best protection while allowing mobility to perform their missions. This proposal will develop two powerful tools to aid future body armor advancements. First, this research program will develop a statistical analysis software that will predict likelihood of impacts based on defined attack scenarios (i.e. rifle, distance and firing ...

    STTR Phase II 2018 Department of DefenseArmy
  5. Dismounted Soldier Positioning, Navigation and Timing (PNT) System Initialization

    SBC: Integrated Solutions for Systems, Inc.            Topic: A17AT017

    Integrated Solutions for Systems, Inc. (IS4S) and teammate Auburn University (AU) propose to develop a PNT initialization system for dismounted soldiers. The proposed system will enhance warfighters’ ability to operate immediately in a GPS denied environments once their mission begins and has wide commercialization potential outside of DoD. In Phase I, the feasibility and expected benefits of in ...

    STTR Phase II 2018 Department of DefenseArmy
  6. High Dynamic Range Heterodyne Terahertz Imager

    SBC: LONGWAVE PHOTONICS LLC            Topic: A17AT007

    The Tunable Active HEterodyne Terahertz Imager (TAHETI) system will use Terahertz Quantum-Cascade Lasers (QCL) combined with a Schottky diode detector for ultra-high dynamic range heterodyne imaging. Distributed feedback (DFB) QCLs with milliwatt power levels are engineered to emit at slightly offset frequencies, and are used as local oscillator and illumination for imaging. The QCLs will be down ...

    STTR Phase II 2018 Department of DefenseArmy
  7. Infrared Micro-Laser Arrays for Target Image Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: AF16AT22

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (2Kx2K), response time < 4 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame r ...

    STTR Phase II 2018 Department of DefenseAir Force
  8. Multi-Physics Models for Parachute Deployment and Braking for Coupling with DoD CREATE-AV Kestrel

    SBC: Kord Technologies, Inc.            Topic: AF18AT004

    Design analysis of parachute recovery systems has relied on a combination of core design principles, historical empirical data, and extensive testing for decades. Parachute motion involves complex phenomena involving porous bluff-body aerodynamics and highly deformable cloth. The proposed project is a plugin for the DoD CREATE-AV Kestrel simulation suite that will enable high-fidelity simulations ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Multi-Physics Models for Parachute Deployment and Braking

    SBC: CMSOFT, INC.            Topic: AF18AT004

    The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

    STTR Phase I 2018 Department of DefenseAir Force
  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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