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Researcher
- Vivek Sujan
- Amit Shyam
- Alex Plotkowski
- Omer Onar
- Sam Hollifield
- Adam Siekmann
- Chad Steed
- Erdem Asa
- James A Haynes
- Junghoon Chae
- Mingyan Li
- Ryan Dehoff
- Subho Mukherjee
- Sumit Bahl
- Travis Humble
- Aaron Werth
- Adam Stevens
- Alice Perrin
- Ali Passian
- Andres Marquez Rossy
- Brian Post
- Brian Weber
- Christopher Fancher
- Dean T Pierce
- Emilio Piesciorovsky
- Gary Hahn
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Hyeonsup Lim
- Isaac Sikkema
- Isabelle Snyder
- Jason Jarnagin
- Jay Reynolds
- Jeff Brookins
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Jovid Rakhmonov
- Kevin Spakes
- Kunal Mondal
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mark Provo II
- Mary A Adkisson
- Nance Ericson
- Nicholas Richter
- Oscar Martinez
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Shajjad Chowdhury
- Srikanth Yoginath
- Sudarsanam Babu
- Sunyong Kwon
- T Oesch
- Varisara Tansakul
- William Peter
- Yarom Polsky
- Ying Yang
- 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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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 growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

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.