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Researcher
- Amit Shyam
- Alex Plotkowski
- Hongbin Sun
- Srikanth Yoginath
- James A Haynes
- James J Nutaro
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sudip Seal
- Sumit Bahl
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Brian Post
- Bryan Lim
- Christopher Fancher
- Dean T Pierce
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Ilias Belharouak
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Nance Ericson
- Nicholas Richter
- Pablo Moriano Salazar
- Peter Wang
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Roger G Miller
- Ruhul Amin
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Thien D. Nguyen
- Tomas Grejtak
- Varisara Tansakul
- Vishaldeep Sharma
- William Peter
- 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.

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.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.