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Researcher
- Ying Yang
- Kyle Kelley
- Rama K Vasudevan
- Alice Perrin
- Sergei V Kalinin
- Steven J Zinkle
- Yanli Wang
- Yutai Kato
- Adam Siekmann
- Alex Plotkowski
- Amit Shyam
- Anton Ievlev
- Bogdan Dryzhakov
- Bruce A Pint
- Christopher Ledford
- Costas Tsouris
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- Hong Wang
- Hyeonsup Lim
- James A Haynes
- Jong K Keum
- Kevin M Roccapriore
- Liam Collins
- Marti Checa Nualart
- Maxim A Ziatdinov
- Michael Kirka
- Mina Yoon
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Radu Custelcean
- Ryan Dehoff
- Stephen Jesse
- Steven Randolph
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Vivek Sujan
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin
- Yongtao Liu

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

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.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

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