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
- Ryan Dehoff
- Alex Plotkowski
- Amit Shyam
- Anees Alnajjar
- Srikanth Yoginath
- Alice Perrin
- James A Haynes
- James J Nutaro
- Michael Kirka
- Nageswara Rao
- Pratishtha Shukla
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Vincent Paquit
- Ying Yang
- Adam Stevens
- Ahmed Hassen
- Ali Passian
- Amir K Ziabari
- Andres Marquez Rossy
- Beth L Armstrong
- Blane Fillingim
- Brian Post
- Brian Sanders
- Christopher Ledford
- Clay Leach
- Craig A Bridges
- David Nuttall
- Femi Omitaomu
- Georgios Polyzos
- Gerald Tuskan
- Gerry Knapp
- Haowen Xu
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- James Haley
- Jaswinder Sharma
- Jeff Foster
- Jerry Parks
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Josh Michener
- Jovid Rakhmonov
- Liangyu Qian
- Mariam Kiran
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Paul Abraham
- Peeyush Nandwana
- Philip Bingham
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Sheng Dai
- Sudarsanam Babu
- Sunyong Kwon
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Vilmos Kertesz
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Yang Liu
- 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.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
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 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.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.