Award Data

"SkyNano, Endeavor Composites, and The University of Tennessee Knoxville propose to develop a composite panel that contains CO2-derived carbon nanotubes (CNTs), recycled carbon fiber waste, and bio-derived natural fibers that exhibits excellent mechanical and functional properties, while maintaining a carbon-negative footprint on a cradle-to-gate and cradle-to-grave basis. By the end of the Phase ...

"SkyNano, Endeavor Composites, and The University of Tennessee Knoxville propose to develop a composite panel that contains CO2-derived carbon nanotubes (CNTs), recycled carbon fiber waste, and bio-derived natural fibers that exhibits excellent mechanical and functional properties, while maintaining a carbon-negative footprint on a cradle-to-gate and cradle-to-grave basis. By the end of the Phase ...

"SkyNano, Endeavor Composites, and The University of Tennessee Knoxville propose to develop a composite panel that contains CO2-derived carbon nanotubes (CNTs), recycled carbon fiber waste, and bio-derived natural fibers that exhibits excellent mechanical and functional properties, while maintaining a carbon-negative footprint on a cradle-to-gate and cradle-to-grave basis. By the end of the Phase ...

Current radiation detection algorithms are based on the concept that each detector operates independently. The Probitas Project, Inc. (Probitas) and the Lawrence Berkeley National Laboratory (LBNL) propose to show the benefits of data fusion to improve the identification, localization, and characterization of a radioactive source in a complex scene as compared to a singular detector algorithm. We ...

The project will develop numerically inspired deep neural nets (NINNs) in order to replace the stiff ordinary differential equation (SODE) solvers currently being used to integrate chemical species in high-fidelity computational fluid dynamics simulations. Unlike traditional deep neural nets, the architectures and optimization strategies used to learn the physics of a problem will be based on the ...

Hazard 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 ...

Phytodetectors will design and engineer a synthetic biological pump circuit to increase the volume of water produced via photosynthetic desalination. This project builds off previous technology designed by Phytodetectors: a mangrove-inspired ultra-filter that allows plants to purify salt water as well as secrete water with properties comparable to bottled water. The partnership seeks to demonstrat ...

This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...