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Researcher
- Peeyush Nandwana
- Srikanth Yoginath
- Andrzej Nycz
- Blane Fillingim
- Brian Post
- Chris Masuo
- James J Nutaro
- Lauren Heinrich
- Luke Meyer
- Pratishtha Shukla
- Sudarsanam Babu
- Sudip Seal
- Thomas Feldhausen
- William Carter
- Yousub Lee
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Ali Passian
- Bekki Mills
- Bruce Hannan
- Bryan Lim
- Dave Willis
- Harper Jordan
- 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
- Peter Wang
- Polad Shikhaliev
- Ramanan Sankaran
- Rangasayee Kannan
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Tomas Grejtak
- Tomonori Saito
- Varisara Tansakul
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vimal Ramanuj
- Vladislav N Sedov
- Wenjun Ge
- 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).

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.

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.