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Related Experiment Video

Updated: Jun 1, 2026

Direct Imaging of Laser-driven Ultrafast Molecular Rotation
10:52

Direct Imaging of Laser-driven Ultrafast Molecular Rotation

Published on: February 4, 2017

Classical dynamics of laser-driven D₃⁺.

Erik Lötstedt1, Tsuyoshi Kato, Kaoru Yamanouchi

  • 1Department of Chemistry, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. lotstedt@chem.s.u-tokyo.ac.jp

Physical Review Letters
|June 15, 2011
PubMed
Summary

A new classical model simulates D₃⁺ molecules interacting with intense laser pulses, revealing electron-nuclear dynamics and dissociation pathways. The model accurately predicts kinetic energy release, matching experimental data.

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Area of Science:

  • Quantum mechanics
  • Molecular dynamics
  • Laser-matter interactions

Background:

  • Understanding molecular behavior under intense laser fields is crucial for controlling chemical reactions.
  • Previous models often simplified electron-nuclear correlation or dimensionality.

Purpose of the Study:

  • To introduce a 3D classical model for simulating the triatomic D₃⁺ molecule under intense, few-cycle laser pulses.
  • To investigate laser-induced correlated electron and nuclear motion.
  • To analyze ionization and dissociation channels and kinetic energy release (KER).

Main Methods:

  • Development of a classical model for D₃⁺ dynamics.
  • Simulation of electron and deuteron motion in 3D.
  • Averaging over multiple trajectories to calculate yields and KER.
  • Comparison of model results with experimental KER spectra.

Main Results:

  • The model successfully describes laser-induced correlated electron-nuclear motion.
  • Calculated relative yields of ionization and dissociation channels show good agreement with experiments.
  • A novel pathway involving electron recombination into Rydberg states was identified, yielding specific fragment ions.

Conclusions:

  • The classical model provides a valuable tool for studying laser-driven molecular dynamics in D₃⁺.
  • The findings offer insights into dissociation mechanisms and fragment energy distributions.
  • The model's ability to reproduce experimental KER spectra validates its predictive power.