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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
- Bogdan Dryzhakov
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- Gerald Tuskan
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Joseph Olatt
- Kevin M Roccapriore
- Kevin Spakes
- Kunal Mondal
- Liam Collins
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Marti Checa Nualart
- Mary A Adkisson
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Paul Abraham
- Samudra Dasgupta
- Stephen Jesse
- Steven Randolph
- T Oesch
- Vilmos Kertesz
- Xiaohan Yang
- Yang Liu
- 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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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.