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Forschungsdatensätze der BAM

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Autor*in

  • Pauw, Brian Richard (2)
  • Smales, Glen Jacob (1)
  • Szymoniak, Paulina (1)

Erscheinungsjahr

  • 2020 (2)

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  • Forschungsdatensatz (2)

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  • Englisch (2)

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  • X-ray scattering (2) (entfernen)

Organisationseinheit der BAM

  • 6 Materialchemie (2)
  • 6.5 Synthese und Streuverfahren nanostrukturierter Materialien (2)
  • 6.6 Physik und chemische Analytik der Polymere (1)

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Complete set of raw and processed datasets, as well as associated Jupyter notebooks for analysis, associated with manuscript entitled: "The MOUSE project: a practical approach for obtaining traceable, wide-range X-ray scattering information" (2020)
Pauw, Brian Richard ; Smales, Glen Jacob
This dataset is a complete set of raw, processed and analyzed data, complete with Jupiter notebooks, associated with the manuscript mentioned in the title. In the manuscript, we provide a "systems architecture"-like overview and detailed discussions of the methodological and instrumental components that, together, comprise the "MOUSE" project (Methodology Optimization for Ultrafine Structure Exploration). Through this project, we aim to provide a comprehensive methodology for obtaining the highest quality X-ray scattering information (at small and wide angles) from measurements on materials science samples.
Dataset and Jupyter worksheet interpreting the (results from) small- and wide-angle scattering data from a series of boehmite/epoxy nanocomposites. Accompanies the publication "Competition of nanoparticle-induced mobilization and immobilization effects on segmental dynamics of an epoxy-based nanocomposite" (2020)
Pauw, Brian Richard ; Szymoniak, Paulina
Dataset and Jupyter worksheet interpreting the (results from) small- and wide-angle scattering data from a series of boehmite/epoxy nanocomposites. Accompanies the publication "Competition of nanoparticle-induced mobilization and immobilization effects on segmental dynamics of an epoxy-based nanocomposite", by Paulina Szymoniak, Brian R. Pauw, Xintong Qu, and Andreas Schönhals. Datasets are in three-column ascii (processed and azimuthally averaged data) from a Xenocs NanoInXider SW instrument. Monte-Carlo analyses were performed using McSAS 1.3.1, other analyses are in the Python 3.7 worksheet. Graphics and result tables are output by the worksheet.
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