doi: 10.7763/IJET.2026.V18.1368
Research on the Application of Artificial Neural Network Algorithm Model in Photonic Crystal Design
Shunfeng Xu
*
- Department of Electrical Information, Shandong University of Science and Technology, Shandong, China
- Manuscript received August 2, 2026
- accepted September 30, 2026
- published October 27, 2026
Abstract
With the rapid development of today's communication field, the use of photonic crystals is more and more widespread. Since the mechanism of photonic crystals determines their optical properties, their application requires designers to design a lot of photonic crystal structures. This paper aims to introduce neural networks into the design of photonic crystal structures, so as to carry out the structure design of known photonic crystal bands. In the whole research process, the representative periodic structures of two-dimensional photonic crystals are selected to train the photonic crystal artificial neural network, and the backward prediction model from the target energy band to the structural parameters of the photonic crystal is further established. Finally, the prediction from the target band structure to the photonic crystal structure is realized. The results show that the neural network method can accurately learn the complex relationship between the photonic crystal structure and its optical properties, which provides a new technical approach for the rapid reverse design of photonic crystals.
Keywords
- photonic crystal
- artificial intelligence
- neural network
- backward prediction model
How to Cite
Shunfeng Xu, "Research on the Application of Artificial Neural Network Algorithm Model in Photonic Crystal Design," International Journal of Engineering and Technology, vol. 18, no. 4, pp. 182-185, 2026. https://doi.org/ 10.7763/IJET.2026.V18.1368
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).