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Researcher
- Isabelle Snyder
- Joseph Chapman
- Nicholas Peters
- Adam Siekmann
- Emilio Piesciorovsky
- Hsuan-Hao Lu
- Joseph Lukens
- Muneer Alshowkan
- Soydan Ozcan
- Subho Mukherjee
- Vivek Sujan
- Xianhui Zhao
- Aaron Werth
- Aaron Wilson
- Alex Roschli
- Ali Riza Ekti
- Anees Alnajjar
- Brian Williams
- Dali Wang
- Elizabeth Piersall
- Erin Webb
- Eve Tsybina
- Evin Carter
- Gary Hahn
- Halil Tekinalp
- Jeremy Malmstead
- Jian Chen
- Kitty K Mccracken
- Mariam Kiran
- Mengdawn Cheng
- Nils Stenvig
- Oluwafemi Oyedeji
- Ozgur Alaca
- Paula Cable-Dunlap
- Raymond Borges Hink
- Sanjita Wasti
- Tyler Smith
- Viswadeep Lebakula
- Wei Zhang
- Yarom Polsky
- Zhili Feng

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.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Technologies directed to polarization agnostic continuous variable quantum key distribution are described.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The development of quantum networking requires architectures capable of dynamically reconfigurable entanglement distribution to meet diverse user needs and ensure tolerance against transmission disruptions.

Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.

This invention addresses a key challenge in quantum communication networks by developing a controlled-NOT (CNOT) gate that operates between two degrees of freedom (DoFs) within a single photon: polarization and frequency.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.