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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.11801 |
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| _version_ | 1866917070037319680 |
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| author | Song, Jaesung Sohn, Young-Ik |
| author_facet | Song, Jaesung Sohn, Young-Ik |
| contents | 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 $30\,μ\mathrm{m}$ 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 $20\,μ\mathrm{m}$-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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11801 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Ultra-fast and accurate multimode waveguide design based on dataset-based eigenmode expansion method Song, Jaesung Sohn, Young-Ik Optics 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 $30\,μ\mathrm{m}$ 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 $20\,μ\mathrm{m}$-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. |
| title | Ultra-fast and accurate multimode waveguide design based on dataset-based eigenmode expansion method |
| topic | Optics |
| url | https://arxiv.org/abs/2504.11801 |