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Researcher
- Hongbin Sun
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Alexander I Kolesnikov
- Alexei P Sokolov
- Anton Ievlev
- Bekki Mills
- Bogdan Dryzhakov
- Ilias Belharouak
- John Wenzel
- Keju An
- Kevin M Roccapriore
- Liam Collins
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Shannon M Mahurin
- Stephen Jesse
- Steven Randolph
- Tao Hong
- Thien D. Nguyen
- Tomonori Saito
- Victor Fanelli
- Vishaldeep Sharma
- Yongtao Liu

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.

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