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
- Srikanth Yoginath
- Hongbin Sun
- James J Nutaro
- Prashant Jain
- Pratishtha Shukla
- Sudip Seal
- Alexander I Wiechert
- Ali Passian
- Andrew F May
- Ben Garrison
- Benjamin Manard
- Brad Johnson
- Brandon A Wilson
- Bryan Lim
- Callie Goetz
- Charles F Weber
- Christopher Hobbs
- Costas Tsouris
- Eddie Lopez Honorato
- Fred List III
- Govindarajan Muralidharan
- Harper Jordan
- Hsin Wang
- Ian Greenquist
- Ilias Belharouak
- Isaac Sikkema
- Joanna Mcfarlane
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Joseph Olatt
- Keith Carver
- Kunal Mondal
- Mahim Mathur
- Matt Kurley III
- Matt Vick
- Mike Zach
- Mingyan Li
- Nance Ericson
- Nate See
- N Dianne Ezell
- Nedim Cinbiz
- Nithin Panicker
- Oscar Martinez
- Pablo Moriano Salazar
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Richard Howard
- Rodney D Hunt
- Rose Montgomery
- Ruhul Amin
- Ryan Heldt
- Sam Hollifield
- Thomas Butcher
- Thomas R Muth
- Tomas Grejtak
- Tyler Gerczak
- Ugur Mertyurek
- Vandana Rallabandi
- Varisara Tansakul
- Venugopal K Varma
- Vishaldeep Sharma
- Vittorio Badalassi
- Yiyu Wang

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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).

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

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

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.

Currently there is no capability to test materials, sensors, and nuclear fuels at extremely high temperatures and under radiation conditions for nuclear thermal rocket propulsion or advanced reactors.

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and