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Researcher
- Amit Shyam
- Alex Plotkowski
- Ryan Dehoff
- William Carter
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chris Masuo
- James A Haynes
- Luke Meyer
- Peter Wang
- Sumit Bahl
- Vincent Paquit
- Adam Stevens
- Akash Jag Prasad
- Alex Walters
- Alice Perrin
- Amy Elliott
- Andres Marquez Rossy
- Calen Kimmell
- Cameron Adkins
- Canhai Lai
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Dean T Pierce
- Erin Webb
- Evin Carter
- Gerry Knapp
- Gordon Robertson
- Isha Bhandari
- James Haley
- James Parks II
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
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- Joshua Vaughan
- Jovid Rakhmonov
- Kitty K Mccracken
- Liam White
- Michael Borish
- Nicholas Richter
- Oluwafemi Oyedeji
- Peeyush Nandwana
- Rangasayee Kannan
- Roger G Miller
- Sarah Graham
- Soydan Ozcan
- Sudarsanam Babu
- Sunyong Kwon
- Tyler Smith
- Vladimir Orlyanchik
- William Peter
- Xianhui Zhao
- Ying Yang
- Yukinori Yamamoto
- Zackary Snow

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.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

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 use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.