Modeling X-ray Photoelectron Spectroscopy of Macromolecules Using GW

Abstract

We propose a simple additive approach to simulate X-ray photoelectron spectra (XPS) of macromolecules based on the $GW$ method. Single-shot $GW$ ($G_0{W}_0$) is a promising technique to compute accurate core-electron binding energies (BEs). However, its application to large molecules is still unfeasible. To circumvent the computational cost of $G_0{W}_0$, we break the macromolecule into tractable building blocks, such as isolated monomers, and sum up the theoretical spectra of each component, weighted by their molar ratio. In this work, we provide a first proof of concept by applying the method to four test polymers and one copolymer, and show that it leads to an excellent agreement with experiments. The method could be used to retrieve the composition of unknown materials and study chemical reactions, by comparing the simulated spectra with experimental ones.

References in corpus (5)

• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Climbing the Density Functional Ladder: Non-Empirical Meta-Generalized Gradient Approximation Designed for Molecules and Solids
• The GW method
• The GW compendium: A practical guide to theoretical photoemission spectroscopy
• Accurate absolute and relative core-level binding energies from $GW$

Cited by in corpus (3)

• Accelerating core-level $GW$ calculations by combining the contour deformation approach with the analytic continuation of $W$
• Peak Broadening in Photoelectron Spectroscopy of Amorphous Polymers: the Leading Role of the Electrostatic Landscape
• Photoemission Spectroscopy on photoresist materials: A protocol for analysis of radiation sensitive materials