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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Alexander I Kolesnikov
- Alexei P Sokolov
- Anton Ievlev
- Bekki Mills
- Bogdan Dryzhakov
- Dave Willis
- John Wenzel
- Keju An
- Kevin M Roccapriore
- Liam Collins
- Luke Chapman
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Shannon M Mahurin
- Stephen Jesse
- Steven Randolph
- Sydney Murray III
- Tao Hong
- Tomonori Saito
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- 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).

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.

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 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.