Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
Researcher
- Singanallur Venkatakrishnan
- Amir K Ziabari
- Diana E Hun
- Hongbin Sun
- Philip Bingham
- Philip Boudreaux
- Prashant Jain
- Ryan Dehoff
- Stephen M Killough
- Vincent Paquit
- Alexander I Wiechert
- Andrew F May
- Ben Garrison
- Benjamin Manard
- Brad Johnson
- Brandon A Wilson
- Bryan Maldonado Puente
- Callie Goetz
- Charles F Weber
- Christopher Hobbs
- Corey Cooke
- Costas Tsouris
- Eddie Lopez Honorato
- Fred List III
- Gina Accawi
- Govindarajan Muralidharan
- Gurneesh Jatana
- Hsin Wang
- Ian Greenquist
- Ilias Belharouak
- Isaac Sikkema
- Joanna Mcfarlane
- Jonathan Willocks
- Joseph Olatt
- Keith Carver
- Kunal Mondal
- Mahim Mathur
- Mark M Root
- Matt Kurley III
- Matt Vick
- Michael Kirka
- Mike Zach
- Mingyan Li
- Nate See
- N Dianne Ezell
- Nedim Cinbiz
- Nithin Panicker
- Nolan Hayes
- Obaid Rahman
- Oscar Martinez
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Richard Howard
- Rodney D Hunt
- Rose Montgomery
- Ruhul Amin
- Ryan Heldt
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Thomas Butcher
- Thomas R Muth
- Tyler Gerczak
- Ugur Mertyurek
- Vandana Rallabandi
- Venugopal K Varma
- Vishaldeep Sharma
- Vittorio Badalassi

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

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.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.

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.

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.