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Researcher
- Omer Onar
- Subho Mukherjee
- Vivek Sujan
- Mostak Mohammad
- Vandana Rallabandi
- Chris Tyler
- Justin West
- Erdem Asa
- Ritin Mathews
- Shajjad Chowdhury
- Adam Siekmann
- Burak Ozpineci
- Emrullah Aydin
- Jon Wilkins
- David Olvera Trejo
- Gui-Jia Su
- Isabelle Snyder
- J.R. R Matheson
- Jaydeep Karandikar
- Scott Smith
- Veda Prakash Galigekere
- Akash Jag Prasad
- Ali Riza Ekti
- Brian Gibson
- Brian Post
- Calen Kimmell
- Emma Betters
- Greg Corson
- Hong Wang
- Hyeonsup Lim
- Jesse Heineman
- John Potter
- Josh B Harbin
- Lingxiao Xue
- Nishanth Gadiyar
- Rafal Wojda
- Tony L Schmitz
- Vladimir Orlyanchik

Complex protective casings and housings are necessary for many applications, including combustion chambers of gas turbines used in aerospace engines. Manufacturing these components from forging and/or casting as a whole is challenging, costly, and time-consuming.

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.

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.