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Local control theory using trajectory surface hopping and linear-response time-dependent density functional theory.

Basile F E Curchod1, Thomas J Penfold, Ursula Rothlisberger

  • 1Laboratory of Computational Chemistry and Biochemistry, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne.

Chimia
|August 24, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a method combining local control theory and nonadiabatic molecular dynamics to generate laser pulses for controlling photoexcitation in lithium fluoride. The approach efficiently manipulates population transfer between electronic states.

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Area of Science:

  • Quantum Chemistry
  • Theoretical Chemistry
  • Computational Physics

Background:

  • Accurate modeling of molecular photoexcitation is crucial for understanding chemical dynamics.
  • Controlling electronic state population transfer requires precise external field manipulation.
  • Nonadiabatic molecular dynamics and time-dependent density functional theory offer pathways for such studies.

Purpose of the Study:

  • To implement local control theory with nonadiabatic molecular dynamics for photoexcitation control.
  • To demonstrate efficient on-the-fly pulse generation for population transfer.
  • To analyze the generated pulse for insights into molecular photophysics.

Main Methods:

  • Linear-response time-dependent density functional theory (LR-TDDFT).
  • Nonadiabatic molecular dynamics with trajectory surface hopping.
  • Local control theory for optimal laser pulse generation.

Main Results:

  • Successful generation of an on-the-fly control pulse for lithium fluoride photoexcitation.
  • Demonstrated efficient control over population transfer between electronic states.
  • Identified key frequencies related to potential energy curves and state energy differences.

Conclusions:

  • The implemented method provides an efficient route for controlling molecular photoexcitation.
  • Analysis of control pulses offers insights into the underlying photophysical processes.
  • The study discusses limitations of the trajectory surface hopping approach.