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Researcher
- Srikanth Yoginath
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- James J Nutaro
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- William Carter
- Alexander Enders
- Alexander I Kolesnikov
- Alexei P Sokolov
- Alex Walters
- Ali Passian
- Annetta Burger
- Bekki Mills
- Bruce Hannan
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Christopher S Blessinger
- Dave Willis
- Debraj De
- Gautam Malviya Thakur
- Harper Jordan
- James Gaboardi
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- John Wenzel
- Joshua Vaughan
- Junghyun Bae
- Keju An
- Kevin Sparks
- Liz McBride
- 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
- Shannon M Mahurin
- Sydney Murray III
- Tao Hong
- Theodore Visscher
- Todd Thomas
- Tomas Grejtak
- Tomonori Saito
- Varisara Tansakul
- Vasilis Tzoganis
- Vasiliy Morozov
- Victor Fanelli
- Vladislav N Sedov
- Xiuling Nie
- Yacouba Diawara
- Yiyu Wang
- Yun Liu

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

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.