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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Chris Tyler
- Vandana Rallabandi
- Justin West
- Erdem Asa
- Ritin Mathews
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- Burak Ozpineci
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- Jon Wilkins
- Adam Siekmann
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- Gui-Jia Su
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- Jaydeep Karandikar
- Scott Smith
- Veda Prakash Galigekere
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- Hyeonsup Lim
- Isabelle Snyder
- Jesse Heineman
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- Josh B Harbin
- Lingxiao Xue
- Rafal Wojda
- Tony L Schmitz
- Vladimir Orlyanchik

Compliance in a part, work holding, or base plate is beneficial for certain processes, but detrimental for machining and material removal.

In additive manufacturing large stresses are induced in the build plate and part interface. A result of theses stresses are deformations in the build plate and final component.

Wireless charging systems need to operate at high frequency, at or near resonance, to maximize power transfer distance and efficiency. High voltages appear across the inductors and capacitors. The use of discrete components reduces efficiency, increases system complexity.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

The described concept provides a predictive technology solution to increase the safety of platooning vehicles.

ORNL has developed a revolutionary system for wirelessly transferring power to electric vehicles and energy storage systems, enabling efficient, contactless charging.