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MP2-based composite extrapolation schemes can predict core-ionization energies for first-row elements with coupled-cluster level accuracy

Published 11 Mar 2024 in physics.chem-ph and quant-ph | (2403.06364v1)

Abstract: X-ray photoelectron spectroscopy (XPS) measures core-electron binding energies (CEBEs) to reveal element-specific insights into chemical environment and bonding. Accurate theoretical CEBE prediction aids XPS interpretation but requires proper modeling of orbital relaxation and electron correlation upon core-ionization. This work systematically investigates basis set selection for extrapolation to the complete basis set (CBS) limit of CEBEs from $\Delta$MP2 and $\Delta$CC energies across 94 K-edges in diverse organic molecules. We demonstrate that an alternative composite scheme using $\Delta$MP2 in a large basis corrected by $\Delta$CC-$\Delta$MP2 difference in a small basis can quantitatively recover optimally extrapolated $\Delta$CC CEBEs within 0.02 eV. Unlike $\Delta$CC, MP2 calculations do not suffer from convergence issues and are computationally cheaper, and, thus, the composite $\Delta$MP2/$\Delta$CC scheme balances accuracy and cost, overcoming limitations of solely using either method. We conclude by providing a comprehensive analysis of the choice of small and large basis sets for the composite schemes and provide practical recommendations for highly accurate (within 0.10-0.15 eV MAE) ab initio prediction of XPS spectra.

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References (6)
  1. Oswald, S. X-ray photoelectron spectroscopy in analysis of surfaces. Encyclopedia of Analytical Chemistry 2013,
  2. Watts, J. F.; Wolstenholme, J. An introduction to surface analysis by XPS and AES. 2019,
  3. Ye, H.-Z.; Van Voorhis, T. Self-consistent Møller-Plesset Perturbation Theory For Excited States. 2020; https://arxiv.org/abs/2008.10777
  4. NIST Computational Chemistry Comparison and Benchmark Database. 2022; https://cccbdb.nist.gov/
  5. Sun, Q.; Berkelbach, T. C.; Blunt, N. S.; Booth, G. H.; Guo, S.; Li, Z.; Liu, J.; McClain, J. D.; Sayfutyarova, E. R.; Sharma, S. et al. PySCF: The python-based simulations of Chemistry Framework. WIREs Computational Molecular Science 2017, 8
  6. Valeev, E. F. Libint: A library for the evaluation of molecular integrals of many-body operators over Gaussian functions. http://libint.valeyev.net/, 2022; version 2.8.0
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