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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
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SBC: TRUENANO INC Topic: N18AT004
TrueNano, Inc. will in collaboration with the University of Colorado and industry partners, develop a novel single-wafer, high-throughput hot filament CDV reactor 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, the development of a throughput mode ...STTR Phase I 2018 Department of DefenseNavy
SBC: KARAGOZIAN & CASE, INC. Topic: N18AT006
Karagozian & Case Inc. and the University of Nebraska-Lincoln Department of Civil Engineering are proposing a Phase I STTR to develop a non-invasive and non-destructive methodology capable of measuring concrete material properties, including relevant spatial and statistical information associated with them, for input to hydrocode models. The solution will be both laboratory and field deployable, w ...STTR Phase I 2018 Department of DefenseNavy
SBC: MAKAI OCEAN ENGINEERING INC Topic: N18AT017
The U.S. Navy currently utilizes a number of towed systems from surface ship and submarines for sensing and communication applications. In a number of these cases, a tow cable extends either down from a surface ship or up from a submarine through the upper part of the water column where seawater temperature can be both highly variable vs. depth and dynamic in time and geographic location. Having a ...STTR Phase I 2018 Department of DefenseNavy
Analysis and Application of Treatments to Mitigate Exfoliation Corrosion (Delamination) of 5XXX Series AluminumSBC: OCEANIT LABORATORIES INC Topic: N18AT016
Oceanit proposes to research and develop chemical or non-chemical methods and processes to impart surface morphology modifications to aluminum-magnesium (Al-Mg) alloys to mitigate and increase the exfoliation corrosion resistance.STTR Phase I 2018 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N14AT005
The US Navy faces daunting energy challenges that will further increase in severity, given the ever-increasing global demand for energy, diminishing energy supplies and demand for enhanced environmental stewardship. Additionally, noise is an important issue for the Navy due to the adverse effect it has on personnel and communities around naval air bases and training sites. Military combat aircraft ...STTR Phase II 2015 Department of DefenseNavy
An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive ManufacturingSBC: 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
SBC: RAM PHOTONICS LLC Topic: N14AT023
Digital equalizers have been the major enablers in RF communications in terms of managing component imperfections and channel impairments. Specifically, the ever increasing processing power of the dedicating computing processors has availed a steady increase in the ability of complex communication systems to deal with impairments as well as allowing higher capacities in the information transfer.On ...STTR Phase II 2016 Department of DefenseNavy
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: N18AT009
This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...STTR Phase I 2018 Department of DefenseNavy
SBC: Plasma Processes, LLC Topic: N18AT026
Friction stir welding (FSW) is an attractive joining method where high strength low porosity welds can be attained. However, the high temperatures and forces required for welding high strength materials like steel require the use of exotic tools. Cubic boron nitride (cBN)-based tools offer attractive tool wear characteristics in steels, but are very costly. Conversely, refractory metal alloys are ...STTR Phase I 2018 Department of DefenseNavy
SBC: RAM LABORATORIES Topic: N18AT027
The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...STTR Phase I 2018 Department of DefenseNavy