X-ray Spectroscopy Fingerprints of Pristine and Functionalized Graphene

Anja Aarva*, Sami Sainio, Volker L. Deringer, Miguel A. Caro, Tomi Laurila

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)
119 Downloads (Pure)

Abstract

In this work, we demonstrate how to identify and characterize the atomic structure of pristine and functionalized graphene materials from a combination of computational simulation of X-ray spectra, on the one hand, and computer-aided interpretation of experimental spectra, on the other. Despite the enormous scientific and industrial interest, the precise structure of these 2D materials remains under debate. As we show in this study, a wide range of model structures from pristine to heavily oxidized graphene can be studied and understood with the same approach. We move systematically from pristine to highly oxidized and defective computational models, and we compare the simulation results with experimental data. Comparison with experiments is valuable also the other way around; this method allows us to verify that the simulated models are close to the real samples, which in turn makes simulated structures amenable to several computational experiments. Our results provide ab initio semiquantitative information and a new platform for extended insight into the structure and chemical composition of graphene-based materials.

Original languageEnglish
Pages (from-to)18234–18246
Number of pages13
JournalJournal of Physical Chemistry C
Volume125
Issue number33
DOIs
Publication statusPublished - 26 Aug 2021
MoE publication typeA1 Journal article-refereed

Funding

T.L. acknowledges support from the European Union’s Horizon 2020 research and innovation programme H2020-FETPROACT-2018-01 under Grant Agreement No 824070. M.A.C. acknowledges personal funding from the Academy of Finland under projects no. 310574 and 330488. V.L.D. acknowledges a Leverhulme Early Career Fellowship. S.S. acknowledges funding from the Walter Ahlström Foundation. The computational resources provided for this project by the CSC–IT Center for Science are gratefully acknowledged. Use of the Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-76SF00515. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 841621.

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