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Researcher
- Peeyush Nandwana
- Alexey Serov
- Amit Shyam
- Blane Fillingim
- Brian Post
- Jaswinder Sharma
- Lauren Heinrich
- Rangasayee Kannan
- Sudarsanam Babu
- Thomas Feldhausen
- Xiang Lyu
- Yousub Lee
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Plotkowski
- Amit K Naskar
- Andres Marquez Rossy
- Bekki Mills
- Beth L Armstrong
- Bruce A Pint
- Bryan Lim
- Christopher Fancher
- Gabriel Veith
- Georgios Polyzos
- Gordon Robertson
- Holly Humphrey
- James Szybist
- Jay Reynolds
- Jeff Brookins
- John Wenzel
- Jonathan Willocks
- Junbin Choi
- Keju An
- Khryslyn G Araño
- Logan Kearney
- Mark Loguillo
- Marm Dixit
- Matthew B Stone
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nihal Kanbargi
- Peter Wang
- Ritu Sahore
- Ryan Dehoff
- Shannon M Mahurin
- Steven J Zinkle
- Tao Hong
- Tim Graening Seibert
- Todd Toops
- Tomas Grejtak
- Tomonori Saito
- Victor Fanelli
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

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

Neutron beams are used around the world to study materials for various purposes.

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.