A physics-aware neural network for effective refractive index prediction of photonic waveguides: A physics-aware neural network for effective refractive...: H.S. Ünal, A.C. Durgun.
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| Title: | A physics-aware neural network for effective refractive index prediction of photonic waveguides: A physics-aware neural network for effective refractive...: H.S. Ünal, A.C. Durgun. |
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| Authors: | Ünal, Hasan Said1,2 (AUTHOR) hasan.unal@metu.edu.tr, Durgun, Ahmet Cemal1 (AUTHOR) acdurgun@metu.edu.tr |
| Source: | Optical & Quantum Electronics. Jan2025, Vol. 57 Issue 1, p1-13. 13p. |
| Subjects: | Rectangular waveguides, Refractive index, Dynamical systems, Waveguides, Dynamic models |
| Abstract: | Neural network (NN)—based surrogates have been effectively used for modeling dynamic systems, including photonic devices. However, black-box data-driven modeling approaches significantly suffer from performance reduction in high-dimensional spaces.As a remedy, we propose a novel physics-aware NN architecture for the effective index prediction of photonic strip waveguides. The model learns a translation between the strip waveguide and an equivalent infinite slab waveguide by employing physical loss terms in the loss function. The proposed method exhibits significantly lower error, with more than 50 % reduction, compared to a black-box NN and a variational method. Because of its physical basis, the proposed NN can predict field distributions in rectangular waveguides and the effective indices of higher-order modes. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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