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NEXAFS spectra of model sulfide chains: implications for sulfur networks obtained from inverse vulcanization.
de Kock, Sunel; Skudler, Konstantin; Matsidik, Rukiya; Sommer, Michael; Müller, Matthias; Walter, Michael.
Afiliação
  • de Kock S; Freiburg Center for Interactive Materials and Bioinspired Technologies (FIT), University of Freiburg, Georges-Köhler-Allee 105, 79110 Freiburg, Germany. sunel.de.kock@mail.fit.uni-freiburg.de.
  • Skudler K; Physikalisch-Technische Bundesanstalt, Abbestr. 2-12, 10587 Berlin, Germany.
  • Matsidik R; Institute for Chemistry, Polymer Chemistry, Chemnitz University of Technology, 09111 Chemnitz, Germany.
  • Sommer M; Forschungszentrum MAIN, TU Chemnitz, Rosenbergstraße 6, 09126 Chemnitz, Germany.
  • Müller M; Institute for Chemistry, Polymer Chemistry, Chemnitz University of Technology, 09111 Chemnitz, Germany.
  • Walter M; Forschungszentrum MAIN, TU Chemnitz, Rosenbergstraße 6, 09126 Chemnitz, Germany.
Phys Chem Chem Phys ; 25(30): 20395-20404, 2023 Aug 02.
Article em En | MEDLINE | ID: mdl-37465922
ABSTRACT
Inverse vulcanization is a promising route to stabilize sulfur in lithium-sulfur batteries, but the resulting sulfur strand lengths in the materials are elusive. We address the strand length by characterization via sulfur near edge X-ray absorption fine structure (NEXAFS) spectroscopy. Theoretical predictions of NEXAFS spectra for model molecules containing strands with up to three sulfur atoms are verified by experiment. The near perfect agreement between simulation and experiment on the absolute energy scale allows for the predictions for larger chain lengths also. Inspection and interpretation of NEXAFS spectra from real battery materials on this basis reveals the appearance of single connecting sulfur atoms for very low sulfur content, and of longer strands when the sulfur fraction increases.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Chem Chem Phys Assunto da revista: BIOFISICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Chem Chem Phys Assunto da revista: BIOFISICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha