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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Erdem Asa
- Shajjad Chowdhury
- Adam Siekmann
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- Eddie Lopez Honorato
- Gui-Jia Su
- Isabelle Snyder
- Ryan Heldt
- Tyler Gerczak
- Veda Prakash Galigekere
- Ali Riza Ekti
- Christopher Hobbs
- Hong Wang
- Hyeonsup Lim
- Lingxiao Xue
- Matt Kurley III
- Nishanth Gadiyar
- Rafal Wojda
- Rodney D Hunt

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

Technologies directed to an integrated on-board charger for dual motor based electric vehicle power train are described.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

In order to avoid the limitations and costs due to the use of monolithic components for chemical vapor deposition, we developed a modular system in which the reaction chamber can be composed of a top and bottom cone, nozzle, and in-situ reaction chambers.

The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.

This invention proposes a Honeycomb-DD coupling structure that addresses the shortcomings of the conventional honeycomb coil array and gathering the advantage of DD and honeycomb designs advantages in a single design.

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.