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arXiv · 2312.14636

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

N. I. Shvetsov-Shilovski·M. Lein
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Abstract

We apply deep learning for retrieval of the time-dependent bond length in the dissociating two-dimensional H$_2^{+}$ molecule using photoelectron momentum distributions. We consider a pump-probe scheme and calculate electron momentum distributions from strong-field ionization by treating the motion of the nuclei classically, semiclassically or quantum mechanically. A convolutional neural network trained on momentum distributions obtained at fixed internuclear distances retrieves the time-varying bond length with an absolute error of $0.2$-$0.3$ a.u.

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N. I. Shvetsov-Shilovski, M. Lein. 2023-12-22. Convolutional neural network for retrieval of the time-dependent bond length in a molecule from photoelectron momentum distributions. https://arxiv.org/abs/2312.14636

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