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Researcher
- Amit Shyam
- Alex Plotkowski
- James A Haynes
- Peter Wang
- Ryan Dehoff
- Stephen M Killough
- Sumit Bahl
- Adam Stevens
- Alice Perrin
- Andres Marquez Rossy
- Brian Post
- Bryan Maldonado Puente
- Christopher Fancher
- Corey Cooke
- Dean T Pierce
- Diana E Hun
- Gerry Knapp
- Gordon Robertson
- Huixin (anna) Jiang
- Jamieson Brechtl
- Jay Reynolds
- Jeff Brookins
- Jovid Rakhmonov
- Kai Li
- Kashif Nawaz
- Nicholas Richter
- Nolan Hayes
- Peeyush Nandwana
- Philip Boudreaux
- Rangasayee Kannan
- Roger G Miller
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- William Peter
- Xiaobing Liu
- 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 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.

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).