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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Anton Ievlev
- Bogdan Dryzhakov
- Callie Goetz
- Christopher Hobbs
- Dave Willis
- Eddie Lopez Honorato
- Fred List III
- Keith Carver
- Kevin M Roccapriore
- Liam Collins
- Luke Chapman
- Marti Checa Nualart
- Matt Kurley III
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Richard Howard
- Rodney D Hunt
- Ryan Heldt
- Stephen Jesse
- Steven Randolph
- Sydney Murray III
- Thomas Butcher
- Tyler Gerczak
- Vasilis Tzoganis
- Vasiliy Morozov
- Yongtao Liu
- Yun Liu

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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.

High and ultra-high vacuum applications require seals that do not allow leaks. O-rings can break down over time, due to aging and exposure to radiation. Metallic seals can damage sealing surfaces, making replacement of the original seal very difficult.

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.

The technology describes an electron beam in a storage ring as a quantum computer.

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.