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Researcher
- Ryan Dehoff
- Hongbin Sun
- Srikanth Yoginath
- James J Nutaro
- Michael Kirka
- Peeyush Nandwana
- Prashant Jain
- Pratishtha Shukla
- Rangasayee Kannan
- Sudip Seal
- Vincent Paquit
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alice Perrin
- Ali Passian
- Amir K Ziabari
- Amit Shyam
- Andres Marquez Rossy
- Blane Fillingim
- Brian Post
- Bryan Lim
- Christopher Ledford
- Clay Leach
- David Nuttall
- Harper Jordan
- Ian Greenquist
- Ilias Belharouak
- James Haley
- Joel Asiamah
- Joel Dawson
- Nance Ericson
- Nate See
- Nithin Panicker
- Pablo Moriano Salazar
- Patxi Fernandez-Zelaia
- Philip Bingham
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Roger G Miller
- Ruhul Amin
- Sarah Graham
- Sudarsanam Babu
- Thien D. Nguyen
- Tomas Grejtak
- Varisara Tansakul
- Venkatakrishnan Singanallur Vaidyanathan
- Vipin Kumar
- Vishaldeep Sharma
- Vittorio Badalassi
- Vlastimil Kunc
- William Peter
- Yan-Ru Lin
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

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.

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.

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

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.