Literature DB >> 33682682

The nuts and bolts of core-hole constrainedab initiosimulation forK-shell x-ray photoemission and absorption spectra.

Benedikt P Klein1,2, Samuel J Hall1,3, Reinhard J Maurer1.   

Abstract

X-ray photoemission (XPS) and near edge x-ray absorption fine structure (NEXAFS) spectroscopy play an important role in investigating the structure and electronic structure of materials and surfaces.Ab initiosimulations provide crucial support for the interpretation of complex spectra containing overlapping signatures. Approximate core-hole simulation methods based on density functional theory (DFT) such as the delta-self-consistent-field (ΔSCF) method or the transition potential (TP) method are widely used to predictK-shell XPS and NEXAFS signatures of organic molecules, inorganic materials and metal-organic interfaces at reliable accuracy and affordable computational cost. We present the numerical and technical details of our variants of the ΔSCF and TP method (coined ΔIP-TP) to simulate XPS and NEXAFS transitions. Using exemplary molecules in gas-phase, in bulk crystals, and at metal-organic interfaces, we systematically assess how practical simulation choices affect the stability and accuracy of simulations. These include the choice of exchange-correlation functional, basis set, the method of core-hole localization, and the use of periodic boundary conditions (PBC). We particularly focus on the choice of aperiodic or periodic description of systems and how spurious charge effects in periodic calculations affect the simulation outcomes. For the benefit of practitioners in the field, we discuss sensible default choices, limitations of the methods, and future prospects. Creative Commons Attribution license.

Entities:  

Keywords:  NEXAFS; delta self consistent field; density functional theory; metal–organic interfaces; transition potential; x-ray absorption; x-ray photoemission

Year:  2021        PMID: 33682682     DOI: 10.1088/1361-648X/abdf00

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  3 in total

1.  Physically inspired deep learning of molecular excitations and photoemission spectra.

Authors:  Julia Westermayr; Reinhard J Maurer
Journal:  Chem Sci       Date:  2021-06-30       Impact factor: 9.969

2.  Topology Effects in Molecular Organic Electronic Materials: Pyrene and Azupyrene*.

Authors:  Benedikt P Klein; Lukas Ruppenthal; Samuel J Hall; Lars E Sattler; Sebastian M Weber; Jan Herritsch; Andrea Jaegermann; Reinhard J Maurer; Gerhard Hilt; J Michael Gottfried
Journal:  Chemphyschem       Date:  2021-05-07       Impact factor: 3.102

3.  Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW.

Authors:  Dorothea Golze; Markus Hirvensalo; Patricia Hernández-León; Anja Aarva; Jarkko Etula; Toma Susi; Patrick Rinke; Tomi Laurila; Miguel A Caro
Journal:  Chem Mater       Date:  2022-07-13       Impact factor: 10.508

  3 in total

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