Employing deep learning for predicting supercontinuum generation in chalcogenide planar waveguide
The paper introduces a deep learning (DL) model as an alternative approach to predict the
supercontinuum generation in waveguides. The traditional technique of using the numerical …
supercontinuum generation in waveguides. The traditional technique of using the numerical …
Unified predictive modeling of supercontinuum spectra: Using multi-material data with Closed-Form Continuous Time Neural Networks
This paper explores the application of the Closed-Form Continuous-Time Neural Networks
(CfC) model in predicting supercontinuum spectra in a unified dataset of various core …
(CfC) model in predicting supercontinuum spectra in a unified dataset of various core …
Artificial Neural Network Model to Investigate Supercontinuum Generation in Chalcogenide Planar Waveguide
This study introduces a Deep Learning (DL) approach to predict supercontinuum generation
in optical waveguides, addressing computational and time challenges of traditional …
in optical waveguides, addressing computational and time challenges of traditional …
Dual-Channel Photonic Crystal Fiber Featuring Negative Curvature Capillary Tubes for Enhanced Transmission of Orbital Angular Momentum Modes
H Upal, M Iftekher, D Dutta - Available at SSRN 5042044 - papers.ssrn.com
This paper demonstrates a dual-channel photonic crystal fiber (PCF) capable of transmitting
280 information-carrying orbital angular momentum (OAM) modes in a 1000 nm bandwidth …
280 information-carrying orbital angular momentum (OAM) modes in a 1000 nm bandwidth …