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Researcher
- Beth L Armstrong
- Jun Qu
- Srikanth Yoginath
- Ying Yang
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- Edgar Lara-Curzio
- James A Haynes
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- Meghan Lamm
- Pratishtha Shukla
- Steve Bullock
- Steven J Zinkle
- Sudip Seal
- Sumit Bahl
- Tomas Grejtak
- Yanli Wang
- Yutai Kato
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- Alice Perrin
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- Jovid Rakhmonov
- Khryslyn G Araño
- Marie Romedenne
- Marm Dixit
- Matthew S Chambers
- Michael Kirka
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Nidia Gallego
- Peeyush Nandwana
- Rangasayee Kannan
- Rishi Pillai
- Sergiy Kalnaus
- Shajjad Chowdhury
- Sunyong Kwon
- Tim Graening Seibert
- Tolga Aytug
- Trevor Aguirre
- Varisara Tansakul
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yiyu Wang

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).

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.

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.

A bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.