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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Alex Plotkowski
- Brian Post
- Jun Qu
- Rangasayee Kannan
- Ryan Dehoff
- Sudarsanam Babu
- Yong Chae Lim
- Zhili Feng
- Blane Fillingim
- Corson Cramer
- James A Haynes
- James Klett
- Jian Chen
- Lauren Heinrich
- Meghan Lamm
- Mike Zach
- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Vincent Paquit
- Wei Zhang
- Ying Yang
- Yousub Lee
- Adam Stevens
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Andrew F May
- Annetta Burger
- Ben Garrison
- Ben Lamm
- Brad Johnson
- Bruce A Pint
- Bruce Moyer
- Bryan Lim
- Calen Kimmell
- Canhai Lai
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Fancher
- Christopher Hershey
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Craig Blue
- Dali Wang
- Daniel Rasmussen
- David J Mitchell
- Dean T Pierce
- Debjani Pal
- Debraj De
- Ethan Self
- Gabriel Veith
- Gautam Malviya Thakur
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Hsin Wang
- James Gaboardi
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jeffrey Einkauf
- Jennifer M Pyles
- Jesse McGaha
- Jiheon Jun
- John Lindahl
- Jordan Wright
- Jovid Rakhmonov
- Justin Griswold
- Kevin Sparks
- Khryslyn G Araño
- Kuntal De
- Laetitia H Delmau
- Liz McBride
- Luke Sadergaski
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Nedim Cinbiz
- Nicholas Richter
- Padhraic L Mulligan
- Peter Wang
- Priyanshi Agrawal
- Roger G Miller
- Rose Montgomery
- Sandra Davern
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Todd Thomas
- Tolga Aytug
- Tony Beard
- Trevor Aguirre
- Venugopal K Varma
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Xiuling Nie
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zackary Snow

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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.

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

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.