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Researcher
- Amit Shyam
- Alex Plotkowski
- Srikanth Yoginath
- Ying Yang
- Edgar Lara-Curzio
- James A Haynes
- James J Nutaro
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Steven J Zinkle
- Sudip Seal
- Sumit Bahl
- Yanli Wang
- Yutai Kato
- Adam Stevens
- Adam Willoughby
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Brian Post
- Bruce A Pint
- Bryan Lim
- Charles Hawkins
- Christopher Fancher
- Dean T Pierce
- Eric Wolfe
- Frederic Vautard
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Marie Romedenne
- Nance Ericson
- Nicholas Richter
- Nidia Gallego
- Pablo Moriano Salazar
- Peter Wang
- Rishi Pillai
- Roger G Miller
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Tim Graening Seibert
- Tomas Grejtak
- Varisara Tansakul
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yiyu Wang
- Yukinori Yamamoto

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.