Open AccessCalculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
Author(s) -
Jian-Zhi Yan,
Shuhong Zhao,
Wen-Di Lan,
Suyu Li,
Shushan Zhou,
Ji-Gen Chen,
Jingyi Zhang,
Yu-Jun Yang
Publication year - 2022
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.470495
Subject(s) - high harmonic generation , nonlinear system , series (stratigraphy) , artificial neural network , laser , harmonic , electron , physics , scheme (mathematics) , optics , nonlinear optics , computer science , computational physics , quantum mechanics , artificial intelligence , mathematics , mathematical analysis , paleontology , biology
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present large computational difficulties due to multi-electron multidimensional effects. In this paper, the time-dependent response of hydrogen atoms is calculated using a time-series prediction scheme, the HHG spectrum is reconstructed very accurately. The accuracy of the forecasting is further improved by using a neural network scheme. This scheme is also applied to the simulation of the harmonic emission on multi-electron systems, and the applicability of the scheme is confirmed by the harmonic calculation of complex systems. This method is expected to simulate the nonlinear dynamic process of multi-electron atoms and molecules irradiated by intense laser pulses quickly and accurately.