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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Peeyush Nandwana
- Erdem Asa
- Shajjad Chowdhury
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- Jon Wilkins
- Amit Shyam
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- Gui-Jia Su
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- Lauren Heinrich
- Rangasayee Kannan
- Sudarsanam Babu
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- Lingxiao Xue
- Nishanth Gadiyar
- Peter Wang
- Rafal Wojda
- Ryan Dehoff
- Steven J Zinkle
- Tim Graening Seibert
- Tomas Grejtak
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

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.

A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.