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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry

Background:

  • Basis set superposition error (BSSE) is a significant artifact in computational chemistry.
  • Accurate BSSE estimation is crucial for reliable molecular property predictions.

Purpose of the Study:

  • To introduce and validate a novel atomic counterpoise (ACP) method for BSSE calculation.
  • To assess the applicability of the ACP method for both inter- and intramolecular BSSE.

Main Methods:

  • The proposed atomic counterpoise method decomposes BSSE into atomic contributions.
  • The method is applicable to both independent particle and electron correlation models.
  • Calculations were performed at Hartree-Fock (HF) and Møller-Plesset perturbation theory (MP2) levels.

Main Results:

  • The ACP method yields results comparable to the established molecular counterpoise (MCP) method for intermolecular BSSE.
  • The ACP method effectively estimates intramolecular BSSE, a challenging area for existing methods.
  • Computational cost is manageable, typically doubling the time for uncorrected energy calculations.

Conclusions:

  • The atomic counterpoise method offers a robust and efficient approach for BSSE correction.
  • Its ability to handle intramolecular BSSE makes it a valuable tool in computational chemistry.
  • The ACP method enhances the accuracy of theoretical molecular calculations.