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Researcher
- Sheng Dai
- Amit Shyam
- Beth L Armstrong
- Parans Paranthaman
- Peeyush Nandwana
- Bishnu Prasad Thapaliya
- Ying Yang
- Zhenzhen Yang
- Zhili Feng
- Alex Plotkowski
- Brian Post
- Craig A Bridges
- Edgar Lara-Curzio
- Jian Chen
- Jun Qu
- Kyle Kelley
- Rama K Vasudevan
- Rangasayee Kannan
- Ryan Dehoff
- Shannon M Mahurin
- Sudarsanam Babu
- Yong Chae Lim
- Adam Willoughby
- Alice Perrin
- Blane Fillingim
- Bruce A Pint
- Christopher Ledford
- Corson Cramer
- David S Parker
- Eric Wolfe
- Ilja Popovs
- James A Haynes
- Lauren Heinrich
- Li-Qi Qiu
- Meghan Lamm
- Michael Kirka
- Rishi Pillai
- Rob Moore II
- Saurabh Prakash Pethe
- Sergei V Kalinin
- Stephen Jesse
- Steve Bullock
- Steven J Zinkle
- Sumit Bahl
- Thomas Feldhausen
- Tolga Aytug
- Tomas Grejtak
- Uday Vaidya
- Wei Zhang
- Yanli Wang
- Yousub Lee
- Yutai Kato
- Adam Stevens
- Ahmed Hassen
- Alexei P Sokolov
- An-Ping Li
- Andres Marquez Rossy
- Andrew F May
- Andrew Lupini
- Anees Alnajjar
- Anton Ievlev
- Ben Garrison
- Benjamin Lawrie
- Ben Lamm
- Bogdan Dryzhakov
- Brad Johnson
- Brandon Johnston
- Brian Sales
- Bruce Moyer
- Bryan Lim
- Charles Hawkins
- Chengyun Hua
- Christopher Fancher
- Costas Tsouris
- Dali Wang
- David J Mitchell
- Dean T Pierce
- Ethan Self
- Frederic Vautard
- Gabor Halasz
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Hsin Wang
- Huixin (anna) Jiang
- James Klett
- Jamieson Brechtl
- Jayanthi Kumar
- Jay Reynolds
- Jeff Brookins
- Jewook Park
- Jiaqiang Yan
- Jiheon Jun
- Jong K Keum
- Jordan Wright
- Jovid Rakhmonov
- Kai Li
- Kashif Nawaz
- Kaustubh Mungale
- Kevin M Roccapriore
- Khryslyn G Araño
- Liam Collins
- Marie Romedenne
- Marm Dixit
- Marti Checa Nualart
- Matthew Brahlek
- Matthew S Chambers
- Maxim A Ziatdinov
- Mike Zach
- Mina Yoon
- Nageswara Rao
- Nancy Dudney
- Nedim Cinbiz
- Neus Domingo Marimon
- Nicholas Richter
- Nidia Gallego
- Olga S Ovchinnikova
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Peter Wang
- Petro Maksymovych
- Phillip Halstenberg
- Priyanshi Agrawal
- Radu Custelcean
- Roger G Miller
- Rose Montgomery
- Saban Hus
- Santa Jansone-Popova
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven Randolph
- Subhamay Pramanik
- Sunyong Kwon
- Tao Hong
- Thomas R Muth
- Tim Graening Seibert
- Tomonori Saito
- Trevor Aguirre
- Venugopal K Varma
- Vlastimil Kunc
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yan-Ru Lin
- Yiyu Wang
- Yongtao Liu
- Yukinori Yamamoto

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

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.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

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.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi