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Researcher
- Beth L Armstrong
- Jun Qu
- Srikanth Yoginath
- Alex Plotkowski
- Amit Shyam
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- Corson Cramer
- James A Haynes
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- Luke Meyer
- Meghan Lamm
- Pratishtha Shukla
- Steve Bullock
- Sudip Seal
- Sumit Bahl
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- Travis Humble
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- Jordan Wright
- Joshua Vaughan
- Jovid Rakhmonov
- Keju An
- Khryslyn G Araño
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Marm Dixit
- Matthew B Stone
- Matthew S Chambers
- Michael Kirka
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Rangasayee Kannan
- Samudra Dasgupta
- Sergiy Kalnaus
- Shajjad Chowdhury
- Shannon M Mahurin
- Sunyong Kwon
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tolga Aytug
- Tomonori Saito
- Trevor Aguirre
- Varisara Tansakul
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- 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.

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.

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.