Nguyen Michael Do
Electrical engineering
Hometown: Gilbert, Arizona, United States
Graduation date: Fall 2025
Additional details: First-generation college student, Honors student
FURI | Fall 2024
TCAD Simulations Aided by Physics-Informed Neural Networks
Technology-Computer-Aided-Design (TCAD) solvers are highly accurate, yet computationally expensive tools to simulate electronics device behavior. Photoconductive Semiconductor Switches (PCSS) are optoelectronic devices used in high-frequency amplification and power applications. This research project aims to compare runtime and accuracy of the TCAD solvers against the physics-informed neural network (PINN) framework by fitting PCSS device simulation data into the neural network. By implementing a PINN, this research aims to improve the efficiency of computational resources and runtime because of TCAD’s complex and tedious nature.
Mentor: Kexin Li
Sponsored project | Fall 2024
Nguyen Michael Do’s FURI project is sponsored by TSMC.
TSMC is a global leader in the semiconductor foundry business. The company’s industry-leading process technologies and portfolio of design enablement solutions help its customers and partners unleash semiconductor innovation. With its recent expansion into Phoenix, TSMC sees the benefit of a strong partnership with ASU faculty and student researchers. TSMC supports the FURI program by providing additional funding for exceptional research projects related to the semiconductor industry. FURI student researchers who pursue a project related to the Semiconductor Manufacturing research theme are eligible for this sponsorship. TSMC-supported FURI students receive a $2,600 stipend and $400 to use for materials. Exceptional research proposals that align with the research theme of Semiconductor Manufacturing will be considered for this additional funding.