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 …

摘要近年来随着计算机性能的提高, 机器学习中的神经网络发展迅速, 在诸多领域中得到了成功
的应用. 在超快光学中, 基于神经网络技术的一些应用在过去几年中也受到了越来越多的关注 …

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

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 …

To accurately predict the complex dynamical processes of supercontinuum generation in
optical fibers, an integrated deep learning model was constructed in this study, fully …

The next generation of ultra-bright photoemission sources may offer opportunities to
enhance our understanding of fundamental spatiotemporal scales. However, modeling …

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 …

Numerical simulations of optical pulse evolution are often a cumbersome task, mostly due to
the presence of nonlinearities, and standard numerical approaches like splitting methods …

Recently, artificial intelligence (AI) has been proven as an effective modeling tool in ultrafast
optics and its application in the design of ultrafast laser system is a promising issue. In this …