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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
- Blane Fillingim
- Corson Cramer
- James A Haynes
- Lauren Heinrich
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- Steve Bullock
- Sumit Bahl
- Thomas Feldhausen
- Tomas Grejtak
- Vincent Paquit
- Ying Yang
- Yousub Lee
- Adam Stevens
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Ben Lamm
- Bruce A Pint
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- Calen Kimmell
- Canhai Lai
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
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- Costas Tsouris
- David J Mitchell
- Dean T Pierce
- Debangshu Mukherjee
- Ethan Self
- Gabriel Veith
- Gerry Knapp
- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- James Haley
- James Klett
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jiheon Jun
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Marm Dixit
- Matthew S Chambers
- Md Inzamam Ul Haque
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Olga S Ovchinnikova
- Peter Wang
- Priyanshi Agrawal
- 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
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zackary Snow
- Zhili Feng

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.

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.

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.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.