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Researcher
- Srikanth Yoginath
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- James J Nutaro
- Junghoon Chae
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- Pratishtha Shukla
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- Muneeshwaran Murugan
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- Pablo Moriano Salazar
- Peeyush Nandwana
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- Polad Shikhaliev
- Rangasayee Kannan
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- Sydney Murray III
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- Vladislav N Sedov
- Xiuling Nie
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- Yun Liu
- Zoriana Demchuk

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).

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.

Estimates based on the U.S. Department of Energy (DOE) test procedure for water heaters indicate that the equivalent of 350 billion kWh worth of hot water is discarded annually through drains, and a large portion of this energy is, in fact, recoverable.

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.