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Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser

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Spin density and orbital optimization in open shell systems: A rational and computationally efficient proposal.

Emmanuel Giner¹, Celestino Angeli¹

¹Dipartimento di Scienze Chimiche e Famaceutiche, Universita di Ferrara, Via Fossato di Mortara 17, I-44121 Ferrara, Italy.

The Journal of Chemical Physics

|March 17, 2016

Summary

This summary is machine-generated.

This study introduces a novel computational method for accurate spin densities in open shell systems. The approach enhances molecular orbitals and uses configuration interaction to avoid spin contamination, offering a cost-effective solution.

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Area of Science:

Computational Chemistry
Quantum Chemistry
Electronic Structure Theory

Background:

Accurate computation of spin densities is crucial for understanding open shell systems.
Existing methods often struggle with spin delocalization and polarization, leading to spin contamination.

Purpose of the Study:

To develop a new, accurate, and computationally efficient method for calculating spin densities in open shell systems.
To address limitations in current computational approaches regarding spin delocalization and polarization.

Main Methods:

A two-step approach involving spin-delocalized molecular orbitals.
Configuration interaction (CI) treatment within a restricted formalism to handle spin polarization.
Optimization based on orbital relaxation of charge transfer determinants.

Main Results:

The new method accurately computes spin densities for both organic and inorganic open shell systems.
It effectively accounts for spin delocalization and polarization while avoiding spin contamination.
The approach offers a reasonable computational cost, approaching a "black-box" usability.

Conclusions:

The developed method provides accurate spin densities for open shell systems.
It is computationally efficient and suitable for systematic studies.
This work offers a valuable tool for researchers in computational and quantum chemistry.