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Researcher
- Corson Cramer
- Steve Bullock
- Amit Shyam
- Beth L Armstrong
- Peeyush Nandwana
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- James Klett
- Jun Qu
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- Sumit Bahl
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- Tomas Grejtak
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- Yousub Lee
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- Ethan Self
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- Glenn R Romanoski
- Gordon Robertson
- Govindarajan Muralidharan
- Jay Reynolds
- Jeff Brookins
- Jessica Moehl
- Jian Chen
- Jiheon Jun
- John Lindahl
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nadim Hmeidat
- Nancy Dudney
- Nicholas Richter
- Peter Wang
- Philipe Ambrozio Dias
- Priyanshi Agrawal
- Roger G Miller
- Rose Montgomery
- Sana Elyas
- Sarah Graham
- Sergiy Kalnaus
- Shajjad Chowdhury
- Steven Guzorek
- Steven J Zinkle
- Sunyong Kwon
- Taylor Hauser
- Thomas R Muth
- Tim Graening Seibert
- Tolga Aytug
- Tomonori Saito
- Tony Beard
- Venugopal K Varma
- Viswadeep Lebakula
- Weicheng Zhong
- Wei Tang
- Wei Zhang
- 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.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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 technologies provide additively manufactured thermal protection system.

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 focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

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.