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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Chad Steed
- Junghoon Chae
- Mingyan Li
- Sam Hollifield
- Sergei V Kalinin
- Travis Humble
- Anton Ievlev
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- Lilian V Swann
- Luke Koch
- Mahim Mathur
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- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Petro Maksymovych
- Samudra Dasgupta
- Stephen Jesse
- Steven Randolph
- T Oesch
- Yongtao Liu

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

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

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