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Researcher
- Vivek Sujan
- Omer Onar
- Srikanth Yoginath
- Adam Siekmann
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- Erdem Asa
- James J Nutaro
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Subho Mukherjee
- Sudip Seal
- Travis Humble
- William Carter
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Ali Passian
- Bekki Mills
- Bruce Hannan
- Bryan Lim
- Dave Willis
- Harper Jordan
- Hyeonsup Lim
- Isabelle Snyder
- Joel Asiamah
- Joel Dawson
- John Wenzel
- Joshua Vaughan
- Keju An
- Loren L Funk
- Luke Chapman
- Mark Loguillo
- Matthew B Stone
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Rangasayee Kannan
- Samudra Dasgupta
- Shajjad Chowdhury
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomas Grejtak
- Tomonori Saito
- Varisara Tansakul
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Yacouba Diawara
- 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).

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.