2 papers
physics.atom-ph2026
Retrieval of the nuclear motion in a molecule from photoelectron momentum distributions using non-Born-Oppenheimer quantum dynamics and deep learning
N. I. Shvetsov-Shilovski, M. Lein
By using a neural network that takes momentum distributions of photoelectrons produced in strong-field ionization as input, we retrieve the time-dependent bond length of a dissocia…
physics.atom-ph2023
Convolutional neural network for retrieval of the time-dependent bond length in a molecule from photoelectron momentum distributions
N. I. Shvetsov-Shilovski, M. Lein
We apply deep learning for retrieval of the time-dependent bond length in the dissociating two-dimensional H molecule using photoelectron momentum distributions. We conside…