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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Chad Steed
- Junghoon Chae
- Mike Zach
- Sergei V Kalinin
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- Kuntal De
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- Luke Sadergaski
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- Maxim A Ziatdinov
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Samudra Dasgupta
- Sandra Davern
- Stephen Jesse
- Steven Randolph
- Tony Beard
- 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.

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

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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.

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.