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Researcher
- Andrzej Nycz
- Chris Masuo
- Amit Shyam
- Peter Wang
- Alex Plotkowski
- Alex Walters
- Adam Willoughby
- Brian Gibson
- James A Haynes
- Joshua Vaughan
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- Akash Jag Prasad
- Alice Perrin
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- Bruce A Pint
- Calen Kimmell
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- Chelo Chavez
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- Chris Tyler
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- Gerry Knapp
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- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Jiheon Jun
- John Potter
- Jovid Rakhmonov
- Marie Romedenne
- Nicholas Richter
- Peeyush Nandwana
- Priyanshi Agrawal
- Riley Wallace
- Ritin Mathews
- Ryan Dehoff
- Sunyong Kwon
- Vincent Paquit
- Vladimir Orlyanchik
- Xiaohan Yang
- Ying Yang
- Yong Chae Lim
- Zhili Feng

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.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.