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ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.
The technology will offer supportless DIW of complex structures using vinyl ester resin, facilitated by multidirectional 6 axis printing.
The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.
The present invention is a carbon nanofiber composite for use as the cathode matrix in an alkali-metal polysulfide flow battery. The CNF composite demonstrates an improvement in sulfur utilization compared to carbon paper alone.
We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.
Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
Process to coat air and or moisture sensitive solid electrolytes for all solid state batteries.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,
Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.