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Award Data
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.
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Blended Reality Solution for Live, Virtual, and Constructive Field Training
SBC: SA PHOTONICS, LLC Topic: AF17AT011A 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 -
Modern Manufacturing for Liquid Rocket Engine Components
SBC: ADVANCED POWDER SOLUTIONS INC Topic: AF18AT009Liquid Rocket Engine (LRE) component manufacturing process by conventional processes are comprised of multi steps, components are fabricated by conventional machining from a forged or rolled billet/sheet. As a result a long lead time is needed and part acquisition time is high. So a low cost fabrication process is needed to replace current traditional processes. Low cost, rapid fabrication of this ...
STTR Phase I 2018 Department of DefenseAir Force -
Midwave Infared (MWIR) Quantum Cascade Lasers (QCL) Thermal Monitoring
SBC: MAX-IR LABS INCORPORATED Topic: AF17AT026Max-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 -
Infrared Micro-Laser Arrays for Target Image Projection
SBC: ATTOLLO ENGINEERING, LLC Topic: AF16AT22Current 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 -
Multi-Physics Models for Parachute Deployment and Braking for Coupling with DoD CREATE-AV Kestrel
SBC: Kord Technologies, Inc. Topic: AF18AT004Design 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 -
Multi-Physics Models for Parachute Deployment and Braking
SBC: CMSOFT, INC. Topic: AF18AT004The 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 -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On 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 -
Coupled Multi-Physics Tool for Analysis of Structural Profile Disruption Effects of Aerovehicles
SBC: CFD RESEARCH CORPORATION Topic: AF17AT025High 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 -
High speed, multispectral, linear polarization display
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF17AT021To 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 -
Mechanically Static High Speed 3-D Optical/Digital Holographic Polarimeter
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF18AT007Phase I of this effort involves the creation of a comprehensive end-to-end model of a novel holographic polarimeter.The polarimeter that can be constructed based on our model will be able to determine the full polarization properties (Mueller matrix elements) of scattering, reflecting and absorbing media as a function of the materials depth.Unlike previous attempts, this system will be a real-time ...
STTR Phase I 2018 Department of DefenseAir Force