Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate
(20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (135)
- User Facilities (27)
Researcher
- Ali Passian
- Joseph Chapman
- Nicholas Peters
- Chad Steed
- Hsuan-Hao Lu
- Joseph Lukens
- Junghoon Chae
- Mingyan Li
- Muneer Alshowkan
- Sam Hollifield
- Travis Humble
- Viswadeep Lebakula
- Aaron Myers
- Alexandre Sorokine
- Anees Alnajjar
- Annetta Burger
- Brian Weber
- Brian Williams
- Carter Christopher
- Chance C Brown
- Claire Marvinney
- Clinton Stipek
- Daniel Adams
- Debraj De
- Eve Tsybina
- Gautam Malviya Thakur
- Harper Jordan
- Isaac Sikkema
- James Gaboardi
- Jesse McGaha
- Jessica Moehl
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Justin Cazares
- Kevin Spakes
- Kevin Sparks
- Kunal Mondal
- Lilian V Swann
- Liz McBride
- Luke Koch
- Mahim Mathur
- Mariam Kiran
- Mary A Adkisson
- Matt Larson
- Nance Ericson
- Oscar Martinez
- Philipe Ambrozio Dias
- Samudra Dasgupta
- Srikanth Yoginath
- Taylor Hauser
- Todd Thomas
- T Oesch
- Varisara Tansakul
- Xiuling Nie

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.