The reverse design of photonic crystal fibers (PCFs) using AI has received significant
attention in recent years. To quickly optimize the fundamental optical properties of PCFs and …

Recent advances in artificial intelligence (AI) have inspired researchers to explore machine
learning (ML)-based optimization and reverse design techniques for photonic crystal fibers …

An efficient and accurate joint neural network has been established to predict the optical
properties of different photonic crystal fibers using two-dimensional structural images. The …

In weakly coupled few mode fibers (FMFs), used in optical communication systems to
increase data capacity, the difference between the effective refractive indices of successive …

The traditional numerical analysis in waveguide design can be time-consuming and
inefficient. This is even more prominent in the THz region and with complex shapes and …

A Ge-doped dual-core dispersion compensation photonic crystal fiber (DC-DCPCF) is
proposed. The small diameters of two layers' air holes make DC-DCPCF form a dual-core …

Equivalent-graded-index photonic-crystal fiber (EGI-PCF) is a modified photonic-crystal fiber
(PCF) where the cladding is not required to be periodic. A radial gradient of the equivalent …

The structural characteristics of photonic crystal fibers (PCFs) determine their optical
properties. This paper introduces an enhanced Grey Wolf Optimization algorithm termed …

A new multiobjective optimization framework is presented for designing large mode area
photonic crystal fibers (LMA-PCFs) with effective single-mode operation in the bent state. For …

Abstract Photonic Crystal Fibres (PCFs) are emerging as an alternative to standard fibres for
applications in many disciplines like fibre lasers & amplifiers, imaging, spectroscopy and …