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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Blane Fillingim
- Brian Post
- Lauren Heinrich
- Peeyush Nandwana
- Sergei V Kalinin
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Alexander I Kolesnikov
- Alexei P Sokolov
- Anton Ievlev
- Bekki Mills
- Bogdan Dryzhakov
- 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
- Ramanan Sankaran
- Shannon M Mahurin
- Stephen Jesse
- Steven Randolph
- Tao Hong
- Tomonori Saito
- Victor Fanelli
- Vimal Ramanuj
- Wenjun Ge
- Yongtao Liu

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.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

Ceramic matrix composites are used in several industries, such as aerospace, for lightweight, high quality and high strength materials. But producing them is time consuming and often low quality.

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