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Combining the maximum overlap method with multiwavelets for core-ionisation energy calculations.

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We developed a new protocol for calculating core-ionization energies using Multiwavelets and Density-Functional Theory. This method accurately reproduces X-ray photoelectron spectroscopy experiments for molecules, improving precision over traditional approaches.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Spectroscopy

Background:

  • Accurate computation of core-ionization energies is crucial for interpreting X-ray photoelectron spectroscopy (XPS) experiments.
  • Traditional methods using Atomic Orbitals (AOs) face challenges like slow convergence and numerical instabilities for core-hole states, especially in larger systems.
  • Existing Multiwavelet calculations often rely on pseudopotentials, limiting their applicability and accuracy.

Purpose of the Study:

  • To present a novel protocol for computing molecular core-ionization energies.
  • To enable precise reproduction of X-ray photoelectron spectroscopy experiments.
  • To overcome limitations of previous computational methods for core-ionization energy calculations.

Main Methods:

  • Utilizing Multiwavelets and Density-Functional Theory (DFT) to compute electronic structures of ground and core-ionised states.
  • Employing the Delta Self-Consistent Field (ΔSCF) method to determine core-ionization energies.
  • Implementing the Maximum Overlap Method (MOM) to stabilize core-hole states and avoid pseudopotentials.

Main Results:

  • The protocol allows for the first all-electron calculation of core-ionization energies using Multiwavelets.
  • Results demonstrate higher precision compared to Atomic Orbital calculations and are consistent with previous Multiwavelet calculations using pseudopotentials.
  • The method is applicable to relatively large molecules and supports both closed-shell and open-shell systems.

Conclusions:

  • The developed protocol offers a robust and precise method for calculating core-ionization energies.
  • This approach overcomes significant numerical challenges associated with AO basis sets and pseudopotentials.
  • The protocol enhances the accuracy of simulating XPS experiments and extends computational capabilities to larger molecular systems.