Owing to their compactness, robustness, low cost, high stability, and diffraction-limited beam
quality, mode-locked fiber lasers play an indispensable role in micro/nanomanufacturing …

Integrating the information of the first cycle of an optical pulse in a cavity into the input of a
neural network, a bidirectional long short-term memory (Bi_LSTM) recurrent neural network …

Digital twin (DT) has revolutionized optical communication networks by enabling their full life-
cycle management, including planning, prediction, optimization, upgrade, and …

In modern optical transmission systems, accurate and reliable simulation of optical fiber
plays a crucial role in link system design, transmission performance prediction, signal …

A quasi-residual physics-informed neural network (QR_PINN) with efficient residual-like
blocks, was investigated based on classical physics-informed neural network to solve …

The nonlinear evolution of ultrashort pulses in optical fiber has broad applications, but the
computational burden of convolutional numerical solutions necessitates rapid modeling …

Accurate color image reconstruction from multi-wavelength holograms is crucial in
biomedical imaging applications. Current data-driven deep learning methods have made …

We deploy a supervised machine-learning model based on a neural network to predict the
temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having …

摘要常规数值求解方法在表征光纤中超短脉冲的非线性传输过程时存在计算量大,
效率低等局限. 随着人工智能的快速发展, 深度学习技术展现出了强大的计算能力 …

Optical fiber channel modeling, which is essential in optical transmission system simulations
and designs, is usually based on the split-step Fourier method (SSFM), making the …