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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Mike Zach
- Sergei V Kalinin
- Andrew F May
- Anton Ievlev
- Ben Garrison
- Bogdan Dryzhakov
- Brad Johnson
- Bruce Moyer
- Charlie Cook
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- Craig Blue
- Daniel Rasmussen
- Debjani Pal
- Eddie Lopez Honorato
- Hsin Wang
- James Klett
- Jeffrey Einkauf
- Jennifer M Pyles
- John Lindahl
- Justin Griswold
- Kevin M Roccapriore
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Marti Checa Nualart
- Matt Kurley III
- Maxim A Ziatdinov
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Rodney D Hunt
- Ryan Heldt
- Sandra Davern
- Stephen Jesse
- Steven Randolph
- Tony Beard
- Tyler Gerczak
- Yongtao Liu

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

Spherical powders applied to nuclear targetry for isotope production will allow for enhanced heat transfer properties, tailored thermal conductivity and minimize time required for target fabrication and post processing.

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

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.

Biocompatible nanoparticles have been developed that can trap and retain therapeutic radionuclides and their byproducts at the cancer site. This is important to maximize the therapeutic effect of this treatment and minimize associated side effects.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.