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DOI: 10.17586/1023-5086-2025-92-12-32-44
Automated design and optimization of high-core-count multi-ring-core fibers using one-dimensional radial refractive index distribution as parameter space
Wang W., Liu X.C., Huang W., He Z.B., He Z.H., Song B.B. Automated design and optimization of high-core-count multi-ring-core fibers using one-dimensional radial refractive index distribution as parameter space ( Автоматизированное проектирование и оптимизация многокольцевых волокон с большим числом сердцевин с использованием одномерного радиального распределения показателя преломления в качестве параметрического пространства) [in English] // Opticheskii Zhurnal. 2025. V. 92. № 12. P. 32–44. http://doi.org/10.17586/1023-5086-2025-92-12-32-44
Subject of study. An automated design and optimization method is proposed for high-core-count multi-ring-core fibers based on one-dimensional structure vectors. Purpose of the work. To achieve efficient and flexible automated design and optimization of multi-ring-core fibers. Method. This method takes the one-dimensional core radial refractive index distribution and core pitch of the fiber structure as the parameter space, and establishes two forward mapping networks to achieve accurate prediction of the mode field area and dispersion. Combining the ideas of residual and dense connections, two network architectures, residual fully connected network and densely fully connected network, are proposed to improve feature extraction efficiency and inter-core crosstalk prediction. Next, a random generation method for the radial refractive index distribution is proposed, which allows for dynamic and flexible adjustment of the refractive index range. Main results. By combining the random generation method and prediction networks, automated design and optimization of different types of fibers can be achieved. The randomly generated fibers are automatically screened using the predefined conditions, and different types of multi-ring-core fibers are automatically designed and obtained, including 37-core and 19-core fibers. Practical significance. This approach is more efficient and flexible and may have wide applications in the automated design and optimization of multi-ring-core fibers and other circularly symmetric structures in one-dimensional parameter spaces.
multi-core fiber, ring-core fiber, neural network applications, automated design
Acknowledgements:this work was funded by the College Students’ Innovation and Entrepreneurship Training Program (202310060108) and National Natural Science Foundation of China (11704283, 11804250)
OCIS codes: 060.2310
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