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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
- Dave Willis
- Dean T Pierce
- Diana E Hun
- Gerry Knapp
- Gordon Robertson
- Jay Reynolds
- Jeff Brookins
- Jovid Rakhmonov
- Luke Chapman
- Nicholas Richter
- Nolan Hayes
- Peeyush Nandwana
- Philip Boudreaux
- Rangasayee Kannan
- Roger G Miller
- Ryan Kerekes
- Sally Ghanem
- Sarah Graham
- Sudarsanam Babu
- Sunyong Kwon
- Sydney Murray III
- Vasilis Tzoganis
- Vasiliy Morozov
- William Peter
- Ying Yang
- Yukinori Yamamoto
- Yun Liu

We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).

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.

High and ultra-high vacuum applications require seals that do not allow leaks. O-rings can break down over time, due to aging and exposure to radiation. Metallic seals can damage sealing surfaces, making replacement of the original seal very difficult.

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).