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Researcher
- Amit Shyam
- Peeyush Nandwana
- Alex Plotkowski
- Brian Post
- Rangasayee Kannan
- Sudarsanam Babu
- Alexey Serov
- Blane Fillingim
- James A Haynes
- Jaswinder Sharma
- Lauren Heinrich
- Ryan Dehoff
- Sumit Bahl
- Thomas Feldhausen
- Xiang Lyu
- Ying Yang
- Yousub Lee
- Adam Stevens
- Alice Perrin
- Amit K Naskar
- Andres Marquez Rossy
- Beth L Armstrong
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Dean T Pierce
- Gabriel Veith
- Georgios Polyzos
- Gerry Knapp
- Gordon Robertson
- Holly Humphrey
- James Szybist
- Jay Reynolds
- Jeff Brookins
- Jonathan Willocks
- Jovid Rakhmonov
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Marm Dixit
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nicholas Richter
- Nihal Kanbargi
- Peter Wang
- Ritu Sahore
- Roger G Miller
- Sarah Graham
- Steven J Zinkle
- Sunyong Kwon
- Tim Graening Seibert
- Todd Toops
- Tomas Grejtak
- Weicheng Zhong
- Wei Tang
- William Peter
- Xiang Chen
- Yanli Wang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

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 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.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

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.