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
- Eddie Lopez Honorato
- Ryan Heldt
- Tyler Gerczak
- Adam Siekmann
- Annetta Burger
- Callie Goetz
- Carter Christopher
- Chance C Brown
- Christopher Hobbs
- Debraj De
- Fred List III
- Gautam Malviya Thakur
- Hong Wang
- Hyeonsup Lim
- James Gaboardi
- Jesse McGaha
- Keith Carver
- Kevin Sparks
- Liz McBride
- Matt Kurley III
- Richard Howard
- Rodney D Hunt
- Thomas Butcher
- Todd Thomas
- Vivek Sujan
- Xiuling Nie

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

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

In order to avoid the limitations and costs due to the use of monolithic components for chemical vapor deposition, we developed a modular system in which the reaction chamber can be composed of a top and bottom cone, nozzle, and in-situ reaction chambers.

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.