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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Stephen M Killough
- Anton Ievlev
- Bogdan Dryzhakov
- Bryan Maldonado Puente
- Callie Goetz
- Christopher Hobbs
- Corey Cooke
- Diana E Hun
- Eddie Lopez Honorato
- Fred List III
- Keith Carver
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Matt Kurley III
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nolan Hayes
- Olga S Ovchinnikova
- Peter Wang
- Philip Boudreaux
- Richard Howard
- Rodney D Hunt
- Ryan Heldt
- Ryan Kerekes
- Sally Ghanem
- Stephen Jesse
- Steven Randolph
- Thomas Butcher
- Tyler Gerczak
- 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.

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

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

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.

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).

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

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.