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Moritz Bensberg1, Johannes Neugebauer1

  • 1Theoretische Organische Chemie, Organisch-Chemisches Institut and Center for Multiscale Theory and Computation, Westfälische Wilhelms-Universität Münster, Corrensstraße 40, 48149 Münster, Germany.

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This study introduces an automated method for selecting active orbitals in projection-based embedding (PbE) for chemical reactions. This approach improves accuracy in calculating reaction energies and barriers without needing to specify active atoms.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Method Development

Background:

  • Projection-based embedding (PbE) is a robust method for accurate electronic structure calculations.
  • PbE combines sophisticated methods for reaction centers with cost-effective DFT for environments.
  • Current PbE methods often require manual selection of 'active atoms'.

Purpose of the Study:

  • To develop an automated, inexpensive approach for selecting active orbitals in PbE.
  • To eliminate the need for specifying 'active atoms' in PbE calculations.
  • To investigate and compare different orbital selection schemes for PbE.

Main Methods:

  • Developed an automatic orbital selection strategy based on orbital changes during a reaction.
  • Applied the method to PBE0-in-PBE embedding, comparing variants based on orbitalwise partial charges and kinetic energy.
  • Evaluated performance using shellwise intrinsic atomic orbital charges for six different reaction types.

Main Results:

  • The proposed automatic orbital selection method effectively identifies orbitals active during a reaction.
  • Shellwise intrinsic atomic orbital charges proved to be the most successful selection scheme.
  • Errors in calculated reaction energies and barriers rapidly decreased as the active orbital space expanded.

Conclusions:

  • The automated orbital selection approach is a significant improvement over atom-based selection in PbE.
  • This method enhances the accuracy and efficiency of reaction barrier and energy calculations.
  • The findings pave the way for more accessible and reliable computational chemistry studies.