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Researcher
- Srikanth Yoginath
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- Hongbin Sun
- James J Nutaro
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- William Carter
- Alex Walters
- Ali Passian
- Bruce Hannan
- Bryan Lim
- Harper Jordan
- Ilias Belharouak
- Joel Asiamah
- Joel Dawson
- Joshua Vaughan
- Loren L Funk
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Ruhul Amin
- Samudra Dasgupta
- Theodore Visscher
- Tomas Grejtak
- Varisara Tansakul
- Vishaldeep Sharma
- Vladislav N Sedov
- Yacouba Diawara
- Yiyu Wang

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

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.

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.

Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.