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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Alex Plotkowski
- Amit Shyam
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- Srikanth Yoginath
- Adam Siekmann
- Anees Alnajjar
- Gui-Jia Su
- James A Haynes
- James J Nutaro
- Pratishtha Shukla
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Veda Prakash Galigekere
- Alice Perrin
- Ali Passian
- Ali Riza Ekti
- Andres Marquez Rossy
- Beth L Armstrong
- Craig A Bridges
- Georgios Polyzos
- Gerry Knapp
- Harper Jordan
- Hong Wang
- Hyeonsup Lim
- Isabelle Snyder
- Jaswinder Sharma
- Joel Asiamah
- Joel Dawson
- Jovid Rakhmonov
- Lingxiao Xue
- Mariam Kiran
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Peeyush Nandwana
- Rafal Wojda
- Ryan Dehoff
- Sheng Dai
- Sunyong Kwon
- Varisara Tansakul
- Ying Yang

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.