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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Chad Steed
- Edgar Lara-Curzio
- Junghoon Chae
- Sergei V Kalinin
- Steven J Zinkle
- Travis Humble
- Yanli Wang
- Ying Yang
- Yutai Kato
- Adam Willoughby
- Anton Ievlev
- Bishnu Prasad Thapaliya
- Bogdan Dryzhakov
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Eric Wolfe
- Frederic Vautard
- Kevin M Roccapriore
- Liam Collins
- Marie Romedenne
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nidia Gallego
- Olga S Ovchinnikova
- Rishi Pillai
- Samudra Dasgupta
- Stephen Jesse
- Steven Randolph
- Tim Graening Seibert
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yongtao Liu

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

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.

A bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.

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