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Researcher
- Vivek Sujan
- Andrzej Nycz
- Chris Masuo
- Peter Wang
- Ying Yang
- Alex Walters
- Omer Onar
- Adam Siekmann
- Alice Perrin
- Amit Shyam
- Brian Gibson
- Erdem Asa
- Joshua Vaughan
- Luke Meyer
- Steven J Zinkle
- Subho Mukherjee
- Udaya C Kalluri
- William Carter
- Yanli Wang
- Yutai Kato
- Akash Jag Prasad
- Alex Plotkowski
- Bruce A Pint
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Christopher Ledford
- Chris Tyler
- Clay Leach
- Costas Tsouris
- Gerry Knapp
- Gordon Robertson
- Gs Jung
- Gyoung Gug Jang
- Hyeonsup Lim
- Isabelle Snyder
- J.R. R Matheson
- James A Haynes
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Jong K Keum
- Michael Kirka
- Mina Yoon
- Nicholas Richter
- Patxi Fernandez-Zelaia
- Radu Custelcean
- Riley Wallace
- Ritin Mathews
- Ryan Dehoff
- Shajjad Chowdhury
- Sumit Bahl
- Sunyong Kwon
- Tim Graening Seibert
- Vincent Paquit
- Vladimir Orlyanchik
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiaohan Yang
- Yan-Ru Lin

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 growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

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.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

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.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.