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Researcher
- Amit Shyam
- Peeyush Nandwana
- Alex Plotkowski
- Brian Post
- Rangasayee Kannan
- Ryan Dehoff
- Sudarsanam Babu
- Blane Fillingim
- James A Haynes
- Lauren Heinrich
- Sumit Bahl
- Thomas Feldhausen
- Vincent Paquit
- Ying Yang
- Yousub Lee
- Adam Stevens
- Akash Jag Prasad
- Alice Perrin
- Andres Marquez Rossy
- Bruce A Pint
- Bryan Lim
- Calen Kimmell
- Canhai Lai
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Dean T Pierce
- Gerry Knapp
- Gordon Robertson
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jovid Rakhmonov
- Nicholas Richter
- Peter Wang
- Roger G Miller
- Sarah Graham
- Steven J Zinkle
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato
- Zackary Snow

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.

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.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.