AI-driven Design and Nano/microfabrication Technologies for Radio Frequency Devices
Project Description
RF micro/nano resonators and filters are key components in 5G/6G RF front-ends. However, current design processes rely excessively on manual parameter tuning, while simulations and fabrication are costly, and device consistency is insufficient, which has severely constrained rapid iteration and large-scale deployment. To address these issues, this project focuses on utilizing AI tools to enhance the automation and generalization of the design–simulation–fabrication workflow.
Supervisor
YANG, Yansong
Quota
3
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
Students need to learn how to design and simulate RF micro/nano resonators, and learn how to use the equipment for nano/microfabrication. Based on these knowledge, they need to use AI tools to empower the design and fabrication process.
They also need to participate in meetings and discussions with the supervisor.
They also need to participate in meetings and discussions with the supervisor.
Applicant's Learning Objectives
1. Know how to design and simulate RF micro/nano resonators
2. Know the basic technologies in the nano/microfabrication
3. Know the basic AI models for performance dection
2. Know the basic technologies in the nano/microfabrication
3. Know the basic AI models for performance dection
Complexity of the project
Challenging