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Researcher
- Ilias Belharouak
- Srikanth Yoginath
- Alexey Serov
- Ali Abouimrane
- Chad Steed
- Hongbin Sun
- James J Nutaro
- Jaswinder Sharma
- Junghoon Chae
- Marm Dixit
- Nance Ericson
- Prashant Jain
- Pratishtha Shukla
- Ruhul Amin
- Sudip Seal
- Travis Humble
- Xiang Lyu
- Ali Passian
- Amit K Naskar
- Ben LaRiviere
- Beth L Armstrong
- Bryan Lim
- David L Wood III
- Gabriel Veith
- Georgios Polyzos
- Harper Jordan
- Holly Humphrey
- Ian Greenquist
- James Szybist
- Joel Asiamah
- Joel Dawson
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Logan Kearney
- Lu Yu
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nate See
- Nihal Kanbargi
- Nithin Panicker
- Pablo Moriano Salazar
- Paul Groth
- Peeyush Nandwana
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Ritu Sahore
- Samudra Dasgupta
- Todd Toops
- Tomas Grejtak
- Varisara Tansakul
- Vishaldeep Sharma
- Vittorio Badalassi
- Yaocai Bai
- Yiyu Wang
- Zhijia Du

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.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

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.