Deep learning and Tucker decomposition-based fast simulators for low-frequency electromagnetic analyses

• Main Author: Jia, Xiaofan
• Other Authors: Abdulkadir C. Yucel
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Computational electromagnetics; Simulation; Simulator; Deep learning; Tensor decomposition; Inductance extraction; Transcranial direct current stimulation (tDCS)
• Online Access: https://hdl.handle.net/10356/180552
• Institution: Nanyang Technological University

Electromagnetic (EM) simulators become indispensable for innovation and design in many engineering disciplines using EM fields and waves. These simulators are mature, yet substantial research is needed to further accelerate them and make them thoroughly useful for analysis and design. For example, f...