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Researcher
- Ilias Belharouak
- Ali Passian
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Joseph Chapman
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Nicholas Peters
- Olga S Ovchinnikova
- Alexey Serov
- Ali Abouimrane
- Hsuan-Hao Lu
- Jaswinder Sharma
- Joseph Lukens
- Kashif Nawaz
- Marm Dixit
- Muneer Alshowkan
- Nance Ericson
- Ruhul Amin
- Stephen Jesse
- Xiang Lyu
- Amit K Naskar
- An-Ping Li
- Andrew Lupini
- Anees Alnajjar
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Ben LaRiviere
- Beth L Armstrong
- Bogdan Dryzhakov
- Brian Fricke
- Brian Williams
- Chengyun Hua
- Christopher Rouleau
- Claire Marvinney
- Costas Tsouris
- David L Wood III
- Debangshu Mukherjee
- Gabor Halasz
- Gabriel Veith
- Georgios Polyzos
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Harper Jordan
- Holly Humphrey
- Hongbin Sun
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- James Szybist
- Jamieson Brechtl
- Jewook Park
- Jiaqiang Yan
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Jong K Keum
- Junbin Choi
- Kai Li
- Khryslyn G Araño
- Kyle Gluesenkamp
- Liam Collins
- Logan Kearney
- Lu Yu
- Mahshid Ahmadi-Kalinina
- Mariam Kiran
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Nihal Kanbargi
- Ondrej Dyck
- Paul Groth
- Petro Maksymovych
- Pradeep Ramuhalli
- Radu Custelcean
- Ritu Sahore
- Saban Hus
- Sai Mani Prudhvi Valleti
- Srikanth Yoginath
- Steven Randolph
- Sumner Harris
- Todd Toops
- Utkarsh Pratiush
- Varisara Tansakul
- Yaocai Bai
- Zhijia Du
- Zhiming Gao

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.