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Researcher
- Andrzej Nycz
- Chris Masuo
- Beth L Armstrong
- Peter Wang
- Alex Walters
- Amit Shyam
- Joshua Vaughan
- Jun Qu
- Luke Meyer
- William Carter
- Alex Plotkowski
- Brian Gibson
- Corson Cramer
- James A Haynes
- Meghan Lamm
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Udaya C Kalluri
- Akash Jag Prasad
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alice Perrin
- Bekki Mills
- Ben Lamm
- Bruce Hannan
- Bryan Lim
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Dave Willis
- David J Mitchell
- Ethan Self
- Gabriel Veith
- Gerry Knapp
- Gordon Robertson
- J.R. R Matheson
- James Klett
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- John Wenzel
- Jordan Wright
- Jovid Rakhmonov
- Keju An
- Khryslyn G Araño
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Marm Dixit
- Matthew B Stone
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Nicholas Richter
- Peeyush Nandwana
- Polad Shikhaliev
- Rangasayee Kannan
- Riley Wallace
- Ritin Mathews
- Sergiy Kalnaus
- Shajjad Chowdhury
- Shannon M Mahurin
- Sunyong Kwon
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tolga Aytug
- Tomonori Saito
- Trevor Aguirre
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vincent Paquit
- Vladimir Orlyanchik
- Vladislav N Sedov
- Xiaohan Yang
- Yacouba Diawara
- Ying Yang
- Yiyu Wang
- Yun Liu

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.