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Researcher
- Vivek Sujan
- Andrzej Nycz
- Chris Masuo
- Michael Kirka
- Peter Wang
- Alex Walters
- Omer Onar
- Rangasayee Kannan
- Ryan Dehoff
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- Subho Mukherjee
- Udaya C Kalluri
- Vincent Paquit
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- Akash Jag Prasad
- Alice Perrin
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- Amit Shyam
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- Chris Tyler
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- Fred List III
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- Isabelle Snyder
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- James Klett
- Jaydeep Karandikar
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- Jeff Brookins
- Jesse Heineman
- John Potter
- Keith Carver
- Patxi Fernandez-Zelaia
- Philip Bingham
- Richard Howard
- Riley Wallace
- Ritin Mathews
- Roger G Miller
- Sarah Graham
- Shajjad Chowdhury
- Steve Bullock
- Sudarsanam Babu
- Thomas Butcher
- Trevor Aguirre
- Venkatakrishnan Singanallur Vaidyanathan
- Vladimir Orlyanchik
- William Peter
- Xiaohan Yang
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto

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.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

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.

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