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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Anees Alnajjar
- Sergei V Kalinin
- Alexander I Kolesnikov
- Anton Ievlev
- Bekki Mills
- Bogdan Dryzhakov
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- Mariam Kiran
- Mark Loguillo
- Marti Checa Nualart
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- Maxim A Ziatdinov
- Nageswara Rao
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Sheng Dai
- Stephen Jesse
- Steven Randolph
- Victor Fanelli
- Yongtao Liu

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

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.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Neutron beams are used around the world to study materials for various purposes.

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.