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Researcher
- Kyle Kelley
- Rama K Vasudevan
- Edgar Lara-Curzio
- Sergei V Kalinin
- Steven J Zinkle
- Yanli Wang
- Ying Yang
- Yutai Kato
- Adam Siekmann
- Adam Willoughby
- Anton Ievlev
- Bishnu Prasad Thapaliya
- Bogdan Dryzhakov
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Eric Wolfe
- Frederic Vautard
- Hong Wang
- Hyeonsup Lim
- Kevin M Roccapriore
- Liam Collins
- Marie Romedenne
- Marti Checa Nualart
- Maxim A Ziatdinov
- Neus Domingo Marimon
- Nidia Gallego
- Olga S Ovchinnikova
- Rishi Pillai
- Stephen Jesse
- Steven Randolph
- Tim Graening Seibert
- Vivek Sujan
- 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.

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

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

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