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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Materials Map under construction

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 (2/2 displayed)

  • 2023Large amplitude oscillatory shear behavior of thermoresponsive hydrogels: Single versus double network15citations
  • 2018Understanding the Molecular Weight Dependence of and the Effect of Dispersity on Polymer Blend Phase Diagrams22citations

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Shafaghsorkh, Saeid
1 / 1 shared
Tarashi, Sara
1 / 3 shared
Nazockdast, Hossein
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Sodeifian, Gholamhossein
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Siepmann, J. Ilja
1 / 4 shared
Xie, Shuyi
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Chen, Qile P.
1 / 2 shared
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2023
2018

Co-Authors (by relevance)

  • Shafaghsorkh, Saeid
  • Tarashi, Sara
  • Nazockdast, Hossein
  • Sodeifian, Gholamhossein
  • Siepmann, J. Ilja
  • Xie, Shuyi
  • Chen, Qile P.
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article

Understanding the Molecular Weight Dependence of and the Effect of Dispersity on Polymer Blend Phase Diagrams

  • Siepmann, J. Ilja
  • Foudazi, Reza
  • Xie, Shuyi
  • Chen, Qile P.
Abstract

<p>Gibbs ensemble Monte Carlo simulations and cloud point measurements were performed to understand the molecular weight dependence of and the effect of dispersity on the phase behavior of polymer mixtures. Oligomeric blends consisting of poly(ethylene-alt-propylene) (PEP) and poly(ethylene oxide) dimethyl ether (PEO) were used as the model systems. First, the molecular weight dependence of for PEP/PEO mixtures was studied using simulations and experiments for PEP/PEO mixtures with various molecular weights. An empirical model with a single adjustable parameter k<sub>ij</sub> is used to quantify this molecular weight dependence, and it allows for the accurate prediction of of PEP/PEO mixtures with arbitrary molecular weights. Second, the effects of molecular weight distribution (MWD) and dispersity (of PEO on the PEP/PEO phase diagram were investigated via both simulations and experiments. When PEO is relatively monodisperse (&lt; 1.2), the phase diagram is found to be insensitive to either MWD or despite differentiation in molecular partitioning observed from simulations. However, the coexistence curve for mixtures containing PEO with a bimodal distribution and a large dispersity (1.76) differs dramatically from that for mixtures containing low-dispersity PEO, which suggests that the former mixture can no longer be treated as a binary system. Furthermore, structural analysis was performed from simulation trajectories to probe microscopic heterogeneity and aggregation behavior in the liquid phases. The results in this work permit the accurate prediction of and the phase diagram of disperse binary polymeric mixtures.</p>

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • molecular weight
  • phase diagram
  • liquid phase
  • polymer blend