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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Anton Ievlev
- Bogdan Dryzhakov
- Bruce Moyer
- Christopher Rouleau
- Costas Tsouris
- Debjani Pal
- Gs Jung
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jeffrey Einkauf
- Jennifer M Pyles
- Jong K Keum
- Justin Griswold
- Kevin M Roccapriore
- Kuntal De
- Laetitia H Delmau
- Liam Collins
- Luke Sadergaski
- Marti Checa Nualart
- Maxim A Ziatdinov
- Mike Zach
- Mina Yoon
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Padhraic L Mulligan
- Radu Custelcean
- Sandra Davern
- Stephen Jesse
- Steven Randolph
- 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.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

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.

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.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

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

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.