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Researcher
- Amit Shyam
- Isabelle Snyder
- Alex Plotkowski
- Sam Hollifield
- Adam Siekmann
- Chad Steed
- Emilio Piesciorovsky
- James A Haynes
- Junghoon Chae
- Mingyan Li
- Ryan Dehoff
- Subho Mukherjee
- Sumit Bahl
- Travis Humble
- Vivek Sujan
- Aaron Werth
- Aaron Wilson
- Adam Stevens
- Alice Perrin
- Ali Passian
- Ali Riza Ekti
- Andres Marquez Rossy
- Brian Post
- Brian Weber
- Christopher Fancher
- Dean T Pierce
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerry Knapp
- Gordon Robertson
- Harper Jordan
- Isaac Sikkema
- 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
- Nils Stenvig
- Oscar Martinez
- Ozgur Alaca
- Peeyush Nandwana
- Peter Wang
- Rangasayee Kannan
- Raymond Borges Hink
- Rob Root
- Roger G Miller
- Samudra Dasgupta
- Sarah Graham
- Srikanth Yoginath
- Sudarsanam Babu
- Sunyong Kwon
- T Oesch
- Varisara Tansakul
- Viswadeep Lebakula
- 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 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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.