Deep learning-based partial inductance extraction of 3-D interconnects

• Main Authors: Jia, Xiaofan, Wang, Mingyu, Dai, Qiqi, Wang, Chao-Fu, Yucel, Abdulkadir C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Physics; Convolutional neural network; Deep learning; Inductance extraction; Machine learning; Magneto-quasi-static analysis; Parameter extraction; U-net
• Online Access: https://hdl.handle.net/10356/182140
• Institution: Nanyang Technological University

A physics-informed deep learning-based scheme is introduced for computing partial inductances of interconnects. This scheme takes a physics-based skin depth map and a geometry identifier of the interconnects as inputs and provides the current density distribution on the interconnects as the output....