Deep learning in light–matter interactions
The deep-learning revolution is providing enticing new opportunities to manipulate and
harness light at all scales. By building models of light–matter interactions from large …
harness light at all scales. By building models of light–matter interactions from large …
Prediction of the optical properties in photonic crystal fiber using support vector machine based on radial basis functions
H Li, H Chen, Y Li, Q Chen, X Fan, S Li, M Ma - Optik, 2023 - Elsevier
Compared with traditional optical fiber, photonic crystal fiber (PCF) has many novel optical
properties owing to its diversity in cladding distribution. But, it is a problem to measure the …
properties owing to its diversity in cladding distribution. But, it is a problem to measure the …
Generative adversarial neural networks model of photonic crystal fiber based surface plasmon resonance sensor
Photonic crystal fibers (PCF) for specific applications are designed and optimized by both
industry experts and researchers. However, the potential number of design combinations …
industry experts and researchers. However, the potential number of design combinations …
Double plasmonic peak shift sensitivity: an analysis of a highly sensitive LSPR-PCF sensor for a diverse range of analyte detection
In this study, a unique combination of Silver (Ag) and Ga-doped ZnO (GZO) is used as
plasmonic materials where both materials can be used for analyte detection. The sensor …
plasmonic materials where both materials can be used for analyte detection. The sensor …
[PDF][PDF] 人工智能赋能激光: 现状, 机遇与挑战
吴函烁， 蒋敏， 周朴 - Chinese Journal of Lasers, 2023 - researching.cn
摘要近年来, 人工智能科技的普及为激光领域的科技教育注入了新动力, 进一步推动了激光行业
的快速发展并拓宽了应用范围. 从激光器件优化设计, 激光器系统结构优化设计 …
的快速发展并拓宽了应用范围. 从激光器件优化设计, 激光器系统结构优化设计 …
A unique wheel-shaped exposed core LSPR-PCF sensor for dual-peak sensing: Applications in the optical communication bands, M-IR region and biosensing
Abstract Photonic Crystal Fibers (PCF) effectiveness in practice decreases if the fabrication
of the sensor becomes too complex. Keeping this in mind, we propose a one-of-a-kind …
of the sensor becomes too complex. Keeping this in mind, we propose a one-of-a-kind …
Design and optimization of optical passive elements using artificial neural networks
AM Gabr, C Featherston, C Zhang, C Bonfil, QJ Zhang… - JOSA B, 2019 - opg.optica.org
Artificial neural networks (ANNs) have been recognized as a fast and flexible tool for
microwave modeling, design, and optimization. Similarly, ANNs can be utilized in the design …
microwave modeling, design, and optimization. Similarly, ANNs can be utilized in the design …
Prediction of dispersion relation and PBGs in 2-D PCs by using artificial neural networks
GN Malheiros-Silveira… - IEEE Photonics …, 2012 - ieeexplore.ieee.org
The prediction of dispersion relation and photonic band gaps in 2-D photonic crystals using
artificial neural networks is demonstrated in this letter. Two case studies are carried out in …
artificial neural networks is demonstrated in this letter. Two case studies are carried out in …
Deep neural network for microstructured polymer fiber modeling
H Li, H Chen, Y Li, Q Chen, S Li… - Journal of Physics D …, 2023 - iopscience.iop.org
Microstructured polymer fibers have been widely studied for terahertz waveguides, sensing,
environmental monitoring, and medicine. Time-consuming methods, including the finite …
environmental monitoring, and medicine. Time-consuming methods, including the finite …
[HTML][HTML] AI-driven photonics: Unleashing the power of AI to disrupt the future of photonics
Recent advances in artificial intelligence (AI) and computing technologies are currently
disrupting the modeling and design paradigms in photonics. In this work, we present our …
disrupting the modeling and design paradigms in photonics. In this work, we present our …