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RESEARCH PAPER · Canadian Journal of Physics · 2022

Deep learning and high harmonic generation

Marianna Lytova, Michael Spanner, Isaac Tamblyn

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16 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

Deep learning and high harmonic generationOriginalSemiclassical two-step model for ionization by a strong laser pulse: further developments and applications17Deep learning for retrieval of the internuclear distance in a molecule from interference patterns in photoelectron momentum distributions17Symmetry-aware deep neural networks for high harmonic spectroscopy in solids8Transfer learning, alternative approaches, and visualization of a convolutional neural network for retrieval of the internuclear distance in a molecule from photoelectron momentum distributions8Femtosecond pulse parameter estimation from photoelectron momenta using machine learning1Spatially resolved macroscopic near-threshold harmonics generated from harmoniclike and resonant transitions using an artificial neural network7Convolutional neural network for retrieval of the time-dependent bond length in a molecule from photoelectron momentum distributions4The Study on the Propagation of a Driving Laser Through Gas Target Using a Neural Network: Interaction of Intense Laser with Atoms2Input-output optics as a causal time series mapping: A generative machine learning solution2Efficient data-driven polarization learning for attosecond science and nonperturbative nonlinear optics2Machine-learning-constructed molecular potential and its application for exploring deep-lying-orbital effects in high-order harmonic generation5人工智能在高次谐波模拟与预测中的研究进展（特邀）0基于神经网络的任意单色激光波形驱动下宏观高次谐波计算模型（特邀）0Physics-informed time series analysis with Kolmogorov-Arnold networks under Ehrenfest constraints1High-fidelity surrogate modeling of high-harmonic generation using Fourier neural operator with high-frequency weighted loss0Theoretical exploration of photoelectron momentum distribution and ultrafast magnetic-field generation in N 2 molecules by an extreme-ultraviolet laser field0

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  1. Semiclassical two-step model for ionization by a strong laser pulse: further developments and applications

    The European Physical Journal D · 2021-04-01

    Nikolay I. Shvetsov-Shilovski

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  2. Deep learning for retrieval of the internuclear distance in a molecule from interference patterns in photoelectron momentum distributions

    Physical Review A · 2022-02-07

    Nikolay I. Shvetsov-Shilovski, Manfred Lein

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  3. Symmetry-aware deep neural networks for high harmonic spectroscopy in solids

    Optics Express · 2022-09-22

    Nikolai D. Klimkin, Álvaro Jiménez-Galán, Rui E. F. Silva, Misha Ivanov

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  4. Transfer learning, alternative approaches, and visualization of a convolutional neural network for retrieval of the internuclear distance in a molecule from photoelectron momentum distributions

    Physical Review A · 2023-03-14

    Nikolay I. Shvetsov-Shilovski, Manfred Lein

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  5. Femtosecond pulse parameter estimation from photoelectron momenta using machine learning

    New Journal of Physics · 2023-08-01

    Tomasz Szołdra, Marcelo F. Ciappina, Nicholas Werby, P. H. Bucksbaum, Maciej Lewenstein, Jakub Zakrzewski, Andrew Maxwell

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  6. Spatially resolved macroscopic near-threshold harmonics generated from harmoniclike and resonant transitions using an artificial neural network

    Physical Review A · 2023-11-17

    Bincheng Wang, Tianyu Wen, Yong Fu, Baochang Li, Kan Wang, Cheng Jin

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  7. Convolutional neural network for retrieval of the time-dependent bond length in a molecule from photoelectron momentum distributions

    Journal of Physics B Atomic Molecular and Optical Physics · 2024-02-28

    Nikolay I. Shvetsov-Shilovski, Manfred Lein

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  8. The Study on the Propagation of a Driving Laser Through Gas Target Using a Neural Network: Interaction of Intense Laser with Atoms

    Symmetry · 2024-12-17

    Xinyu Wang, Yuanyuan Qiu, Yue Qiao, Fu-Ming Guo, Jun Wang, Chen Gao, Ji-Gen Chen, Yujun Yang

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  9. Input-output optics as a causal time series mapping: A generative machine learning solution

    Physical Review Research · 2025-04-04

    Abhijit Sen, Bikram Keshari Parida, Kurt A. Jacobs, Denys I. Bondar

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  10. Efficient data-driven polarization learning for attosecond science and nonperturbative nonlinear optics

    Computer Physics Communications · 2025-04-11

    Emmanuel Lorin, Charlotte Noxon

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  11. Machine-learning-constructed molecular potential and its application for exploring deep-lying-orbital effects in high-order harmonic generation

    Physical Review A · 2025-06-06

    Duong D. Hoang-Trong, Khang Tran, Doan-An Trieu, Quan-Hao Truong, Ngoc-Hung Phan, Ngoc-Loan Thi Phan, Van-Hoang Le

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  12. 人工智能在高次谐波模拟与预测中的研究进展（特邀）

    Laser & Optoelectronics Progress · 2026-01-01

    WU Wenshu, 赵世舜 Zhao Shishun, 邹永魁 Zou Yongkui, 杨玉军 Yang Yujun

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  13. 基于神经网络的任意单色激光波形驱动下宏观高次谐波计算模型（特邀）

    Laser & Optoelectronics Progress · 2026-01-01

    罗博 Luo Bo, 卢斌 Lu Bin, 王彬诚 Wang Bincheng, 金成 Jin Cheng

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  14. Physics-informed time series analysis with Kolmogorov-Arnold networks under Ehrenfest constraints

    Physical Review Research · 2026-03-11

    Abhijit Sen, I. V. Lukin, Kurt A. Jacobs, Lev Kaplan, Andrii Sotnikov, Denys I. Bondar

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  15. High-fidelity surrogate modeling of high-harmonic generation using Fourier neural operator with high-frequency weighted loss

    Optics Express · 2026-04-08

    Wen-Shu Wu, Yongkui Zou, Shi-Shun Zhao, Yujun Yang

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  16. Theoretical exploration of photoelectron momentum distribution and ultrafast magnetic-field generation in N 2 molecules by an extreme-ultraviolet laser field

    Physical Review A · 2026-04-08

    Shu-Juan Yan, Ying Guo, Yun-He Xing, Xin-Yu Hao, Jing Guo

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