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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Terahertz cyber security testing using artificial intelligence
SBC: Electronics of the future, Inc.. Topic: AF19BT001The goal this work is to use AI to interpret the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. The key application is work is identifying hardware security treats using artificial intelligence (AI) for cyber security applications. Our approach will provide a rapid, inexpensive, and non-destructive technology address this prob ...
STTR Phase II 2020 Department of DefenseAir Force -
Using the Conditional Moment Closure Method to Assess the Effects of Turbulence Chemical Kinetics
SBC: REACTION SYSTEMS, INC Topic: A16AT001Predicting the emission signature and radar cross-section of rocket exhaust plumes is of vital interest to the Missile Defense Agency and U.S. Army to protect the U.S. homeland and our forces abroad. The current STTR Phase II project has shown that a single-conditioned Premixed Conditional Moment Closure (PCMC) can employ detailed chemical kinetic mechanisms while efficiently modeling combustion ...
STTR Phase II 2020 Department of DefenseArmy -
Urbanscape: Single Shot Multi-Task 3D Reconstruction
SBC: Dzyne Technologies Incorporated Topic: DTRA18B001Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...
STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency -
Provably Unclonable Functions on Re-configurable Devices
SBC: Potomac Research LLC Topic: A18BT001Physically uncloneable functions (PUFs) have the potential to revolutionize cybersecurity by forming the basis for next-generation secure networks and trusted computing environments. During Phase I, Potomac Research and OSU evaluated of three physically uncloneable function (PUF) designs that can be implemented on COTS FPGAs. One design based on hybrid Boolean networks (HBN-PUFs) emerged as the cl ...
STTR Phase II 2020 Department of DefenseArmy -
Advanced Measurement Capability of Turbine Engine Exhaust and Jet Flows through Non-intrusive Methods
SBC: NON-CONTACT TECHNOLOGIES LLC Topic: AF19CT010Advanced Air Force turbine engines with integrated engine exhaust systems require diagnostic flow measurements. Integration of these systems into altitude test cells creates problems with T&E requirements such as impingement problems, exhaust cooling spray blowback, acoustic emission issues and limited space for measurement systems. Propulsion system analysts need better understanding of low aspec ...
STTR Phase II 2020 Department of DefenseAir Force -
Hot Filament CVD Technology for disruptive, high throughput SiC epitaxial growth reactors
SBC: TRUENANO INC Topic: N18AT004TrueNano, Inc. will in collaboration with the University of Colorado and industry partners, produce a novel single wafer, high throughput, cold wall Hot Filament CVD (HF-CVD) reactor prototype for the growth of high-quality silicon carbide (SiC) epitaxial layers, suitable for the next generation of power electronic devices and systems. This includes the design and simulation of the reactor chamber ...
STTR Phase II 2020 Department of DefenseAir Force -
Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing
SBC: ELEMENTUM 3D, INC. Topic: A18BT003There is a military and industry need for easy-to-use, versatile alloys for metals additive manufacturing (3D printing) that print consistently regardless of the specific process or machine and without requiring in-depth metallurgical or manufacturing knowledge. Such capability is critical for soldiers to be able to make needed items on demand in the theater of war. In addition, the alloy will be ...
STTR Phase II 2020 Department of DefenseArmy -
Freeze Casting of Tubular Sulfer Tolerant Materials for Solid Oxide Fuel Cells
SBC: MILLENNITEK LLC Topic: A14AT011Solid oxide fuel cells have long suffered from degradation due to impurities in the fuel and complexities associated with dissimilar materials and high operating temperatures. This degradation lowers the usable cell power output and requires ancillary equipment for fuel sulfur removal and reformation. A unique microstructure for a tubular anode-supported SOFC is being developed using a novel freez ...
STTR Phase II 2020 Department of DefenseArmy -
Detection Rate Improvements Through Understanding and Modeling Ocean Variability--- Phase II-- MP-18-103
SBC: METRON INCORPORATED Topic: N18AT002Transmission loss (TL) is a key input to the sonar equation for predicting the ability of an active sonar system to detect and track a target of interest. The proposed technical effort centers on developing physics-based models to interpret and predict TL variability. The concept under development consists of a model that consumes modeled and in situ oceanographic information, estimates the likeli ...
STTR Phase II 2020 Department of DefenseNavy -
Predictive Graph Convolutional Networks
SBC: METRON INCORPORATED Topic: N19AT017Increased availability of graph-structured military data and recent technical advances in neural network design and training methods has led to an opportunity to advance the state of the art while simultaneously establishing and improving the ability:(1) to monitor a platform or force, (2) to predict capabilities and limitations of the force, and (3) to suggest opportunities and vulnerabilities. ...
STTR Phase II 2020 Department of DefenseNavy