English

Ultra-fast and accurate multimode waveguide design based on dataset-based eigenmode expansion method

Optics 2025-11-11 v2

Abstract

We propose a dataset-based photonic simulation framework for multimode waveguide design, enabling ultra-fast simulations with high accuracy. Compared to conventional approaches, our method offers two to three orders of magnitude speed-up in complex multimode waveguide designs. Based on this approach, we demonstrate a silicon multimode waveguide bend with an effective radius of 30μm30\,\mu\mathrm{m} under one second, with accuracy validated against commercial 3D finite-difference time-domain method. We further explore its utility for device optimization by designing a 20μm20\,\mu \mathrm{m}-radius, arbitrary power splitting ratio bends through thousands of optimization iterations, completed in just 68 minutes on a standard desktop CPU. This framework enables the rapid design and engineering of large-scale multimode photonic devices, making computationally intensive simulations more accessible to many photonic circuit designers.

Keywords

Cite

@article{arxiv.2504.11801,
  title  = {Ultra-fast and accurate multimode waveguide design based on dataset-based eigenmode expansion method},
  author = {Jaesung Song and Young-Ik Sohn},
  journal= {arXiv preprint arXiv:2504.11801},
  year   = {2025}
}
R2 v1 2026-06-28T23:00:04.852Z