Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- 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 (138)
- User Facilities (28)
Researcher
- Brian Post
- Ali Passian
- Peter Wang
- Amit Shyam
- Andrzej Nycz
- Alex Plotkowski
- Anees Alnajjar
- Blane Fillingim
- Chris Masuo
- Joseph Chapman
- Nicholas Peters
- Peeyush Nandwana
- Srikanth Yoginath
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
- Hsuan-Hao Lu
- J.R. R Matheson
- James A Haynes
- James J Nutaro
- Joseph Lukens
- Joshua Vaughan
- Lauren Heinrich
- Muneer Alshowkan
- Nageswara Rao
- Pratishtha Shukla
- Ryan Dehoff
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Yousub Lee
- Adam Stevens
- Alex Roschli
- Alice Perrin
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Gibson
- Brian Williams
- Cameron Adkins
- Christopher Fancher
- Chris Tyler
- Claire Marvinney
- Craig A Bridges
- Craig Blue
- David Olvera Trejo
- Femi Omitaomu
- Georgios Polyzos
- Gerry Knapp
- Gordon Robertson
- Haowen Xu
- Harper Jordan
- Isha Bhandari
- Jaswinder Sharma
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Joel Asiamah
- Joel Dawson
- John Lindahl
- John Potter
- Jovid Rakhmonov
- Liam White
- Luke Meyer
- Mariam Kiran
- Michael Borish
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Rangasayee Kannan
- Ritin Mathews
- Roger G Miller
- Sarah Graham
- Scott Smith
- Sheng Dai
- Steven Guzorek
- Sunyong Kwon
- Varisara Tansakul
- Vlastimil Kunc
- William Carter
- William Peter
- Ying Yang
- Yukinori Yamamoto

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.

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.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

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

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.