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Researcher
- Corson Cramer
- Steve Bullock
- Amit Shyam
- Alex Plotkowski
- Greg Larsen
- James Klett
- Srikanth Yoginath
- Trevor Aguirre
- Chad Steed
- James A Haynes
- James J Nutaro
- Junghoon Chae
- Peeyush Nandwana
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Sudip Seal
- Sumit Bahl
- Travis Humble
- Vlastimil Kunc
- Adam Stevens
- Ahmed Hassen
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Beth L Armstrong
- Brian Post
- Bryan Lim
- Charlie Cook
- Christopher Fancher
- Christopher Hershey
- Christopher Ledford
- Craig Blue
- Daniel Rasmussen
- David J Mitchell
- Dean T Pierce
- Dustin Gilmer
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- John Lindahl
- Jordan Wright
- Jovid Rakhmonov
- Michael Kirka
- Nadim Hmeidat
- Nance Ericson
- Nicholas Richter
- Pablo Moriano Salazar
- Peter Wang
- Roger G Miller
- Samudra Dasgupta
- Sana Elyas
- Sarah Graham
- Steven Guzorek
- Sudarsanam Babu
- Sunyong Kwon
- Tomas Grejtak
- Tomonori Saito
- Tony Beard
- Varisara Tansakul
- William Peter
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto

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 technologies provide additively manufactured thermal protection system.

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.

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

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.