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 …

We investigate the application of deep learning to the retrieval of the internuclear distance in
the two-dimensional H 2+ molecule from the momentum distribution of photoelectrons …

We use a convolutional neural network to retrieve the internuclear distance in the two-
dimensional H 2+ molecule ionized by a strong few-cycle laser pulse based on the …

High-order harmonic generation (HHG) through laser-molecule interaction provides a
powerful means for detecting molecular structure and dynamics with subangström spatial …

Artificial intelligence, and in particular deep learning, is becoming a powerful tool to access
complex simulations in intense ultrafast laser science. One of the most challenging tasks to …

We report on the reconstruction of ultrashort laser pulses from computer-simulated and
experimental second harmonic generation-frequency resolved optical gating (SHG-FROG) …

Using machine learning, we explore the utility of various deep neural networks when
applied to high harmonic generation scenarios. First, we train the neural networks to predict …

We investigate the generation of near-threshold harmonics (NTHs) based on solving the
three-dimensional time-dependent Schrödinger equation and utilizing an artificial neural …

High-order harmonic generation is one of the ways to generate attosecond ultra-short
pulses. In order to accurately simulate the high-order harmonic emission, it is necessary to …

Liquefaction is one of the most destructive phenomena caused by earthquakes, and it has
been studied regarding the issues of risk assessment and hazard analysis. The strain …