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Cited by 312

The DOI matches its Crossref record; 177 of the 177 references it cites were found in a registry or an index.

Simulating X-ray Spectroscopies and Calculating Core-Excited States of Molecules

Norman, Patrick, Dreuw, Andreas·2018·Chemical Reviews

Abstract

During the past decade, the research field of computational X-ray spectroscopy has witnessed an advancement triggered by the development of advanced synchrotron light sources and X-ray free electron lasers that in turn has enabled new sophisticated experiments with needs for supporting theoretical investigations. Following a discussion about fundamental conceptual aspects of the physical nature of core excitations and the concomitant requirements on theoretical methods, an overview is given of the major developments made in electronic-structure theory for the purpose of simulating advanced X-ray spectroscopies, covering methods based on density-functional theory as well as wave function theory. The capabilities of these theoretical approaches are illustrated by an overview of simulations of selected linear and nonlinear X-ray spectroscopies, including X-ray absorption spectroscopy (XAS), X-ray natural circular dichroism (XNCD), X-ray emission spectroscopy (XES), resonant inelastic X-ray scattering (RIXS), and X-ray two-photon absorption (XTPA).

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Metadata

Authors
Norman, P., & Dreuw, A.
Venue
Chemical Reviews
Published
2018-06-12
Volume
118
Issue
15
Pages
7208-7248
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2808363004
Cited by
312
References
177
FWCI
4.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Simulating X-ray Spectroscopies and Calculating Core-Excited States of Molecules. https://app.cochat.ai/papers/10.1021/acs.chemrev.8b00156
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Norman, P., & Dreuw, A. (2018). Simulating X-ray Spectroscopies and Calculating Core-Excited States of Molecules. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.8b00156

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.