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Researcher
- Ahmed Hassen
- Vivek Sujan
- Vlastimil Kunc
- Steven Guzorek
- Vipin Kumar
- Brian Post
- David Nuttall
- Omer Onar
- Soydan Ozcan
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- Andrzej Nycz
- Dan Coughlin
- Erdem Asa
- Jim Tobin
- Kuntal De
- Pum Kim
- Segun Isaac Talabi
- Subho Mukherjee
- Tyler Smith
- Udaya C Kalluri
- Uday Vaidya
- Umesh N MARATHE
- Adam Stevens
- Alex Roschli
- Alex Walters
- Biruk A Feyissa
- Brittany Rodriguez
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- Georges Chahine
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- Isabelle Snyder
- Jeremy Malmstead
- John Lindahl
- Josh Crabtree
- Julian Charron
- Katie Copenhaver
- Kim Sitzlar
- Kitty K Mccracken
- Komal Chawla
- Merlin Theodore
- Nadim Hmeidat
- Oluwafemi Oyedeji
- Ryan Ogle
- Sana Elyas
- Shajjad Chowdhury
- Steve Bullock
- Subhabrata Saha
- Sudarsanam Babu
- Thomas Feldhausen
- Vincent Paquit
- Xianhui Zhao
- Xiaohan Yang

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.

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

This invention introduces a continuous composite forming process that produces large parts with variable cross-sections and shapes, exceeding the size of the forming machine itself.

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