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Researcher
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
- Alex Plotkowski
- Brian Post
- Jun Qu
- Rangasayee Kannan
- Sudarsanam Babu
- Yong Chae Lim
- Zhili Feng
- Blane Fillingim
- Corson Cramer
- Eddie Lopez Honorato
- James A Haynes
- Jian Chen
- Lauren Heinrich
- Meghan Lamm
- Rob Moore II
- Ryan Dehoff
- Ryan Heldt
- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Tyler Gerczak
- Wei Zhang
- Ying Yang
- Yousub Lee
- Adam Stevens
- Alice Perrin
- Andres Marquez Rossy
- Benjamin Lawrie
- Ben Lamm
- Bruce A Pint
- Bryan Lim
- Chengyun Hua
- Christopher Fancher
- Christopher Hobbs
- Christopher Ledford
- Dali Wang
- David J Mitchell
- Dean T Pierce
- Ethan Self
- Gabor Halasz
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- James Klett
- Jay Reynolds
- Jeff Brookins
- Jiaqiang Yan
- Jiheon Jun
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Marm Dixit
- Matthew Brahlek
- Matthew S Chambers
- Matt Kurley III
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Peter Wang
- Petro Maksymovych
- Priyanshi Agrawal
- Rodney D Hunt
- Roger G Miller
- Rose Montgomery
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven J Zinkle
- Sunyong Kwon
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Venugopal K Varma
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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

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 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.

Sintering additives to improve densification and microstructure control of UN provides a facile approach to producing high quality nuclear fuels.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.