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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Alexander I Kolesnikov
- Alexei P Sokolov
- Anton Ievlev
- Bekki Mills
- Bogdan Dryzhakov
- Callie Goetz
- Christopher Hobbs
- Eddie Lopez Honorato
- Fred List III
- John Wenzel
- Keith Carver
- Keju An
- Kevin M Roccapriore
- Liam Collins
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Matt Kurley III
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Richard Howard
- Rodney D Hunt
- Ryan Heldt
- Shannon M Mahurin
- Stephen Jesse
- Steven Randolph
- Tao Hong
- Thomas Butcher
- Tomonori Saito
- Tyler Gerczak
- Victor Fanelli
- Yongtao Liu

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).

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

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

Neutron beams are used around the world to study materials for various purposes.

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.

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