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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Chad Steed
- Junghoon Chae
- Mingyan Li
- Sam Hollifield
- Sergei V Kalinin
- Stephen M Killough
- Travis Humble
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- Corey Cooke
- Diana E Hun
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- Kunal Mondal
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- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Marti Checa Nualart
- Mary A Adkisson
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nolan Hayes
- Olga S Ovchinnikova
- Oscar Martinez
- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- 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.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

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.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).