Super-resolution deep learning network for finite-difference time-domain simulations

• Main Authors: Li, Haolin, Liu, Shuo, Tan, Eng Leong
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2025
• 主題: Engineering; Coarse-fine grid reconstruction; Deep learning network
• 在線閱讀: https://hdl.handle.net/10356/182288
• 機構: Nanyang Technological University

When selecting the spatial grid size in finite-difference time-domain (FDTD) simulations, it is necessary to balance numerical dispersion and computational resources. Coarser grids are less computationally intensive but decrease simulation accuracy, while finer grids can reduce numerical dispersion...