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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Alex Plotkowski
- Brian Post
- Jun Qu
- Kevin M Roccapriore
- Kyle Kelley
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- Olga S Ovchinnikova
- Rangasayee Kannan
- Sudarsanam Babu
- Yong Chae Lim
- Blane Fillingim
- Corson Cramer
- Hongbin Sun
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- Sumit Bahl
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- Ying Yang
- Yousub Lee
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- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Ben Lamm
- Bogdan Dryzhakov
- Brian Fricke
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Christopher Ledford
- Christopher Rouleau
- Costas Tsouris
- David J Mitchell
- Dean T Pierce
- Debangshu Mukherjee
- Ethan Self
- Gabriel Veith
- Gerd Duscher
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ian Greenquist
- Ilia N Ivanov
- Ilias Belharouak
- Ivan Vlassiouk
- James Klett
- Jamieson Brechtl
- Jay Reynolds
- Jeff Brookins
- Jewook Park
- Jiheon Jun
- Jong K Keum
- Jordan Wright
- Jovid Rakhmonov
- Kai Li
- Khryslyn G Araño
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marm Dixit
- Marti Checa Nualart
- Matthew S Chambers
- Md Inzamam Ul Haque
- Michael Kirka
- Mina Yoon
- Nancy Dudney
- Nate See
- Neus Domingo Marimon
- Nicholas Richter
- Nickolay Lavrik
- Nithin Panicker
- Ondrej Dyck
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Rose Montgomery
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- Saban Hus
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- Shajjad Chowdhury
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- Steven Randolph
- Sumner Harris
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Utkarsh Pratiush
- Venugopal K Varma
- Vishaldeep Sharma
- Vittorio Badalassi
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zhili Feng
- Zhiming Gao

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.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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 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.

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

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.