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 (1/1 displayed)

  • 2017Which structural features stand behind micelization of ionic liquids? Quantitative Structure-Property Relationship studies18citations

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Puzyn, Tomasz
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Sosnowska, Anita
1 / 2 shared
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2017

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  • Puzyn, Tomasz
  • Sosnowska, Anita
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article

Which structural features stand behind micelization of ionic liquids? Quantitative Structure-Property Relationship studies

  • Puzyn, Tomasz
  • Sosnowska, Anita
  • Barycki, Maciej
Abstract

HypothesisDifferent ions constituting ionic liquids (ILs) change their properties, including the Critical Micelization Concentration (CMC). It is possible to identify and quantitatively describe specific structural ions’ features having influence on the micelization of ILs. Moreover, it should be possible to verify, whether the phenomenon of micelization is governed by the influence of the single ion only, rather than being a sum of both ions’ mutual influence.ExperimentalThe qualitative and quantitative description of the structural properties responsible for micelles formation was performed with the use of the Quantitative Structure-Property Relationship (QSPR) approach. Structural features were expressed with help of the molecular GEometry, Topology, and Atom-Weights AssemblY (GETAWAY) descriptors system. The QSPR model was properly validated and its quality and usability was additionally proven by applying it to predict the CMC for 15,000 computationally designed ILs. It was the first model to the CMC assessment for ILs.FindingsThe analysis showed that longer (containing big hydrophobic domain), less spherical and not “folded” cations as well as bigger anions are the main factors causing the decrease of CMC. According to the presented model, the influence of cations and anions is independent.

Topics
  • impedance spectroscopy
  • laser emission spectroscopy