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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Rama K Vasudevan
- Sergei V Kalinin
- Ying Yang
- Yongtao Liu
- Alex Plotkowski
- Brian Post
- Jun Qu
- Kevin M Roccapriore
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- Rangasayee Kannan
- Ryan Dehoff
- Sudarsanam Babu
- Yong Chae Lim
- Adam Willoughby
- Alice Perrin
- Blane Fillingim
- Bruce A Pint
- Christopher Ledford
- Corson Cramer
- David S Parker
- Edgar Lara-Curzio
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- Kyle Kelley
- Lauren Heinrich
- Meghan Lamm
- Michael Kirka
- Rishi Pillai
- Rob Moore II
- Steve Bullock
- Steven J Zinkle
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Yanli Wang
- Yousub Lee
- Yutai Kato
- Zhili Feng
- Adam Stevens
- Andres Marquez Rossy
- Andrew F May
- Anton Ievlev
- Arpan Biswas
- Ben Garrison
- Ben Lamm
- Bishnu Prasad Thapaliya
- Brad Johnson
- Brandon Johnston
- Brian Sales
- Bryan Lim
- Charles Hawkins
- Christopher Fancher
- Costas Tsouris
- David J Mitchell
- Dean T Pierce
- Eric Wolfe
- Ethan Self
- Frederic Vautard
- Gabriel Veith
- Gerd Duscher
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Hsin Wang
- James Klett
- Jay Reynolds
- Jeff Brookins
- Jian Chen
- Jiheon Jun
- Jong K Keum
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marie Romedenne
- Marm Dixit
- Marti Checa Nualart
- Matthew Brahlek
- Matthew S Chambers
- Mike Zach
- Mina Yoon
- Nancy Dudney
- Nedim Cinbiz
- Neus Domingo Marimon
- Nicholas Richter
- Nidia Gallego
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Peter Wang
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Rose Montgomery
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Utkarsh Pratiush
- Venugopal K Varma
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yan-Ru Lin
- Yiyu Wang
- Yukinori Yamamoto

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

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 lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

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.