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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Sergei V Kalinin
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Roschli
- Anton Ievlev
- Bekki Mills
- Bogdan Dryzhakov
- Erin Webb
- Evin Carter
- Jeremy Malmstead
- John Wenzel
- Keju An
- Kevin M Roccapriore
- Kitty K Mccracken
- Liam Collins
- Mark Loguillo
- Marti Checa Nualart
- Matthew B Stone
- Maxim A Ziatdinov
- Mengdawn Cheng
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Shannon M Mahurin
- Soydan Ozcan
- Stephen Jesse
- Steven Randolph
- Tao Hong
- Tomonori Saito
- Tyler Smith
- Victor Fanelli
- Xianhui Zhao
- Yongtao Liu

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

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

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.