Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate
(229)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(138)
- User Facilities (28)
Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Adam Siekmann
- Burak Ozpineci
- Edgar Lara-Curzio
- Emrullah Aydin
- Jon Wilkins
- Eric Wolfe
- Gui-Jia Su
- Isabelle Snyder
- Steven J Zinkle
- Veda Prakash Galigekere
- Yanli Wang
- Ying Yang
- Yutai Kato
- Adam Willoughby
- Ali Riza Ekti
- Bishnu Prasad Thapaliya
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Frederic Vautard
- Hong Wang
- Hyeonsup Lim
- Lingxiao Xue
- Marie Romedenne
- Nidia Gallego
- Nishanth Gadiyar
- Rafal Wojda
- Rishi Pillai
- Tim Graening Seibert
- Weicheng Zhong
- Wei Tang
- Xiang Chen
31 - 36 of 36 Results

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.