Ab Initio Molecular Dynamics of Temporary Anions Using Complex Absorbing Potentials
Jerryman A Gyamfi1, Thomas-C Jagau1
1Department of Chemistry, KU Leuven, Celestijnenlaan 200F, B-3001 Leuven, Belgium.
The Journal of Physical Chemistry Letters
|September 2, 2022
Summary
This study introduces a new computational method to model temporary anions in dissociative electron attachment, improving understanding of chemical bond cleavage by low-energy electrons.
Area of Science:
- Chemical Physics
- Theoretical Chemistry
- Computational Chemistry
Background:
- Dissociative electron attachment (DEA) is challenging for standard quantum-chemical methods due to unstable anion intermediates.
- Temporary anions are short-lived and prone to autodetachment, complicating dynamic simulations.
- Accurate modeling of DEA requires methods that can handle unbound anionic states.
Purpose of the Study:
- To develop a novel computational approach for simulating the dynamics of temporary anions in DEA.
- To accurately model the behavior of transient negative ions undergoing bond cleavage.
- To provide mechanistic insights into DEA processes for various molecules.
Main Methods:
- Utilizing complex-valued potential energy surfaces to describe electron loss and nuclear forces.
- Employing an analytical force computation based on Hartree-Fock theory.
- Incorporating a complex absorbing potential to model electron detachment.
- Performing *ab initio* molecular dynamics simulations.
Main Results:
- The new method successfully simulates the dynamics of temporary anions on complex-valued potential energy surfaces.
- Simulations show qualitative agreement with experimental observations for various molecules.
- Mechanistic insights into DEA were gained for dinitrogen, ethylene, chloroethane, and chlorinated ethylenes.
- The method effectively handles both dissociative and auto-detaching temporary anions.
Conclusions:
- The developed computational method provides a robust framework for studying dissociative electron attachment.
- This approach offers a more accurate and versatile tool for understanding electron-molecule interactions.
- The findings advance the theoretical modeling capabilities for chemical reactions initiated by low-energy electrons.
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