Simulating macroscopic high-order harmonic generation driven by structured laser beams using artificial intelligence

Pablos-Marín, José Miguel; Serrano, Javier; Hernández-García, Carlos

doi:10.1016/j.cpc.2023.108823

Cited by 6 publications

(2 citation statements)

References 72 publications

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“…3), an emerging field with many applications at the nanoworld [6,7]. Our results [8] demonstrate that machine learning applied to HHG allows not only to speed-up the simulations, but to reveal hidden signatures in the HHG process that are neglected in the standard approximations. We demonstrate that AI applied to nonlinear phenomena such as HHG allows for the exploration of new physics at the nanometer and attosecond spatiotemporal scales.…”

Section: Macroscopic Hhg Simulations Assisted By Artificial Intelligencementioning

confidence: 65%

“…During the last decade, the emergence of artificial intelligence (AI) has provided a new paradigm to perform advanced simulations, and in particular, its application in ultrafast science has provided new routes to predict the properties of x-ray pulses [4], or to speed retrieval algorithms to characterize attosecond pulses [5], among others. In this work, we use neural networks (NN) to obtain complete 3D-TDSE-based macroscopic HHG calculations driven by structured laser beams in low density gas jets, and demonstrate that HHG simulation methods can benefit from AI not only to speed-up the calculations, but to reveal hidden signatures that are neglected in standard approximations [8].…”

Section: Introductionmentioning

confidence: 99%

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Machine-learning applied to the simulation of high harmonic generation driven by structured laser beams

Serrano,

Pablos-Marín,

Hernández-García

2023

EPJ Web Conf.

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High harmonic generation (HHG) is one of the richest processes in strong-field physics. It allows to up-convert laser light from the infrared domain into the extreme-ultraviolet or even soft x-rays, that can be synthesized into laser pulses as short as tens of attoseconds. The exact simulation of such highly non-linear and non-perturbative process requires to couple the laser-driven wavepacket dynamics given by the three-dimensional time-dependent Schrödinger equation (3D-TDSE) with the Maxwell equations to account for macroscopic propagation. Such calculations are extremely demanding, well beyond the state-of-the-art computational capabilities, and approximations, such as the strong field approximation, need to be used. In this work we show that the use of machine learning, in particular deep neural networks, allows to simulate macroscopic HHG within the 3D-TDSE, revealing hidden signatures in the attosecond pulse emission that are neglected in the standard approximations. Our HHG method assisted by artificial intelligence is particularly suited to simulate the generation of soft x-ray structured attosecond pulses.

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Section: Macroscopic Hhg Simulations Assisted By Artificial Intelligencementioning

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Machine-learning applied to the simulation of high harmonic generation driven by structured laser beams

Serrano,

Pablos-Marín,

Hernández-García

2023

EPJ Web Conf.

Self Cite

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Isolated attosecond pulse generation in a semi-infinite gas cell driven by time-gated phase matching

Vismarra,

Fernández-Galán,

Mocci

et al. 2024

Light Sci Appl

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Isolated attosecond pulse (IAP) generation usually involves the use of short-medium gas cells operated at high pressures. In contrast, long-medium schemes at low pressures are commonly perceived as inherently unsuitable for IAP generation due to the nonlinear phenomena that challenge favourable phase-matching conditions. Here we provide clear experimental evidence on the generation of isolated extreme-ultraviolet attosecond pulses in a semi-infinite gas cell, demonstrating the use of extended-medium geometries for effective production of IAPs. To gain a deeper understanding we develop a simulation method for high-order harmonic generation (HHG), which combines nonlinear propagation with macroscopic HHG solving the 3D time-dependent Schrödinger equation at the single-atom level. Our simulations reveal that the nonlinear spatio-temporal reshaping of the driving field, observed in the experiment as a bright plasma channel, acts as a self-regulating mechanism boosting the phase-matching conditions for the generation of IAPs.

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Integrating artificial intelligence into the simulation of structured laser-driven high harmonic generation

Pablos-Marín,

Schmidt,

de las Heras

et al. 2024

EPJ Web Conf.

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High harmonic generation (HHG) stands as one of the most complex processes in strong-field physics, as it enables the conversion of laser light from the infrared to the extreme-ultraviolet or even the soft x-rays, enabling the synthesis and control of pulses lasting as short as tens of attoseconds. Accurately simulating this nonlinear and non-perturbative phenomena requires the coupling the dynamics of laser-driven electronic wavepackets, described by the three-dimensional time-dependent Schrödinger equation (3D-TDSE), with macroscopic Maxwell’s equations. Such calculations are extremely demanding due to the duality of microscopic and macroscopic nature of the process, thereby requiring the use of approximations. We develop a HHG method assisted by artificial intelligence that facilitates the simulation of macroscopic HHG within the framework of 3D-TDSE. This approach is particularly suited to simulate HHG driven by structured laser pulses. In particular, we demonstrate a self-interference effect in HHG driven by Hermite-Gauss beams. The theoretical and experimental agreement allows us to validate the AI-based model, and to identify a unique signature of the quantum nature of the HHG process.

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Simulating macroscopic high-order harmonic generation driven by structured laser beams using artificial intelligence

Cited by 6 publications

References 72 publications

Machine-learning applied to the simulation of high harmonic generation driven by structured laser beams

Machine-learning applied to the simulation of high harmonic generation driven by structured laser beams

Isolated attosecond pulse generation in a semi-infinite gas cell driven by time-gated phase matching

Integrating artificial intelligence into the simulation of structured laser-driven high harmonic generation

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