Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024Correlations of single‐point parameters of linear rheology and molecular weight distribution of polypropylene homo‐ and copolymers5citations
  • 2023The Canadian Journal of Chemical Engineering / Customizing the comonomer incorporation distribution in Ziegler–Natta-based LLDPE: Harnessing the influences of the titanation temperature during catalyst synthesis and of polymerization process parameters2citations
  • 2023International Journal of Adhesion and Adhesives / Influence of hollow glass microspheres on 1K epoxy structural adhesive for the automotive industry7citations
  • 2021Macromolecular Chemistry and Physics / Catalyst type effects on structure/property relations of polypropylene random copolymers15citations
  • 2021SPE Polymers / Influence of material contamination on polypropylene meltfiltration using assembled and fused screens3citations
  • 2020Journal of Polymer Research / Investigation of the influence of impurities on the ring-opening polymerisation of L-Lactide from biogenous feedstock7citations

Places of action

Chart of shared publication
Gschwendner, Georg
1 / 1 shared
Moser, Patrick
1 / 1 shared
Gahleitner, Markus
2 / 6 shared
Gitsas, Antonis
1 / 3 shared
Schwarz, Julia Felicitas
1 / 1 shared
Göpperl, Lukas
1 / 1 shared
Pernusch, Daniel Christian
1 / 1 shared
Bruckner, Thomas M.
1 / 1 shared
Hader-Kregl, Laura
1 / 2 shared
Kern, Carina
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Singewald, Tanja Denise
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Gruber, Ralph
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Hafner, Martina
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Müller, Mathias
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Tranninger, Cornelia
1 / 1 shared
Shutov, Pavel
1 / 1 shared
Wang, Jingbo
1 / 7 shared
Mileva, Daniela
1 / 2 shared
Burgstaller, Christoph
1 / 5 shared
Koller, Kerstin
1 / 1 shared
Schwarzinger, Clemens
1 / 1 shared
Itzinger, Regina
1 / 1 shared
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2024
2023
2021
2020

Co-Authors (by relevance)

  • Gschwendner, Georg
  • Moser, Patrick
  • Gahleitner, Markus
  • Gitsas, Antonis
  • Schwarz, Julia Felicitas
  • Göpperl, Lukas
  • Pernusch, Daniel Christian
  • Bruckner, Thomas M.
  • Hader-Kregl, Laura
  • Kern, Carina
  • Singewald, Tanja Denise
  • Gruber, Ralph
  • Hafner, Martina
  • Müller, Mathias
  • Tranninger, Cornelia
  • Shutov, Pavel
  • Wang, Jingbo
  • Mileva, Daniela
  • Burgstaller, Christoph
  • Koller, Kerstin
  • Schwarzinger, Clemens
  • Itzinger, Regina
OrganizationsLocationPeople

article

Correlations of single‐point parameters of linear rheology and molecular weight distribution of polypropylene homo‐ and copolymers

  • Gschwendner, Georg
  • Paulik, Christian
  • Moser, Patrick
  • Gahleitner, Markus
  • Gitsas, Antonis
Abstract

<jats:title>Abstract</jats:title><jats:p>For various purposes, it is required to compress the shape of the molecular weight distribution (MWD) of polymers into a limited set of parameters. With increasing molecular weight and polydispersity, the MWD data obtained from chromatography become increasingly unreliable due to deficiencies in the high molecular weight region, making estimation via melt rheology more preferable. A number of empirical parameters obtained from melt rheology can be related back to MWD parameters. The target of this study is to establish the reliability of such relations for polypropylene homo‐ and copolymers. It is found that correlations between polydispersity from rheological crossover modulus and polydispersity via chromatography are not always valid. Therefore, the range of applicability must be kept in mind when attempting predictions based on these correlations because rheological measurements are sensitive to molecular characteristics in ways different from chromatography. The use of a modified polydispersity index is shown to be more reliable.</jats:p>

Topics
  • impedance spectroscopy
  • melt
  • molecular weight
  • copolymer
  • polydispersity
  • chromatography