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Researcher
- Andrzej Nycz
- Chris Masuo
- Ryan Dehoff
- Peter Wang
- Alex Walters
- Joseph Chapman
- Nicholas Peters
- Vincent Paquit
- Amit Shyam
- Brian Gibson
- Brian Post
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- Hsuan-Hao Lu
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- Joshua Vaughan
- Luke Meyer
- Michael Kirka
- Muneer Alshowkan
- Udaya C Kalluri
- William Carter
- Adam Stevens
- Ahmed Hassen
- Akash Jag Prasad
- Alex Plotkowski
- Alice Perrin
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- Andres Marquez Rossy
- Anees Alnajjar
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- Jaydeep Karandikar
- Jay Reynolds
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- Jesse Heineman
- John Potter
- Mariam Kiran
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

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

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.