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Researcher
- Alex Plotkowski
- Amit Shyam
- Hongbin Sun
- Srikanth Yoginath
- Chad Steed
- James A Haynes
- James J Nutaro
- Junghoon Chae
- Peeyush Nandwana
- Prashant Jain
- Pratishtha Shukla
- Sudip Seal
- Sumit Bahl
- Travis Humble
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Annetta Burger
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Debraj De
- Gautam Malviya Thakur
- Gerry Knapp
- Harper Jordan
- Ian Greenquist
- Ilias Belharouak
- James Gaboardi
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Kevin Sparks
- Liz McBride
- Nance Ericson
- Nate See
- Nicholas Richter
- Nithin Panicker
- Pablo Moriano Salazar
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rangasayee Kannan
- Ruhul Amin
- Ryan Dehoff
- Samudra Dasgupta
- Sunyong Kwon
- Thien D. Nguyen
- Todd Thomas
- Tomas Grejtak
- Varisara Tansakul
- Vishaldeep Sharma
- Vittorio Badalassi
- Xiuling Nie
- Ying Yang
- Yiyu Wang

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

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

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

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.

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.