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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Nebel, Lisa Julia

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Kinetically controlled metal-elastomer nanophases for environmentally resilient stretchable electronics7citations
  • 2023Formation of wrinkles on a coated substrate16citations
  • 2021Controlling line defects in wrinkling: a pathway towards hierarchical wrinkling structures16citations

Places of action

Chart of shared publication
Makarov, Denys
1 / 26 shared
Knapp, André
2 / 2 shared
Pylypovskyi, Oleksandr
1 / 2 shared
Sander, Oliver
2 / 4 shared
Jeong, Min Woo
1 / 1 shared
Oh, Jin Young
1 / 5 shared
Avdoshenko, Stanislav
1 / 5 shared
Choi, Won J.
1 / 1 shared
Cho, Chang Hee
1 / 1 shared
Besford, Quinn A.
1 / 4 shared
Makushko, Pavlo
1 / 4 shared
Chae, Soosang
1 / 5 shared
Lee, Tae Il
1 / 1 shared
Chung, Yoon Jang
1 / 1 shared
Zabila, Yevhen
1 / 4 shared
Fery, Andreas
2 / 34 shared
Nitschke, Mirko
1 / 8 shared
Chart of publication period
2024
2023
2021

Co-Authors (by relevance)

  • Makarov, Denys
  • Knapp, André
  • Pylypovskyi, Oleksandr
  • Sander, Oliver
  • Jeong, Min Woo
  • Oh, Jin Young
  • Avdoshenko, Stanislav
  • Choi, Won J.
  • Cho, Chang Hee
  • Besford, Quinn A.
  • Makushko, Pavlo
  • Chae, Soosang
  • Lee, Tae Il
  • Chung, Yoon Jang
  • Zabila, Yevhen
  • Fery, Andreas
  • Nitschke, Mirko
OrganizationsLocationPeople

thesis

Formation of wrinkles on a coated substrate

  • Nebel, Lisa Julia
Abstract

The dissertation “Formation of wrinkles on a coated substrate“ treats the finite element simulations of controlled wrinkle formation experiments conducted at the Leibniz Institute for Polymer Research. The systems used for the experiments consist of a soft polydimethylsiloxane (PDMS) layer with a thin, stiff layer on top. The wrinkling process is triggered by a stress mismatch between the bulk and the thin layer. To create the stress mismatch, the bulk material is first uni-axially stretched and then the thin layer is created by a low-pressure plasma treatment of the stretched bulk in a vacuum chamber. Under subsequent relaxation, wrinkles form. Their wavelength depends on the choice of the process gas and the duration of the treatment. The use of thin silicon masks placed directly on the PDMS allows to sharply restrict the plasma-exposed area. Sequential exposures of the same sample to multiple treatment processes with and without a mask allow to locally modify the layer thickness and stiffness. With this, we can locally control the wavelength of the resulting wrinkles and trigger the formation of branches and line defects at the boundary between areas of different wavelengths. The dissertation first covers the mathematical model for the coated substrate, a combination of a hyperelastic material model from three-dimensional elasticity for the bulk (an almost incompressible Mooney–Rivlin material model) and a Cosserat shell model for the film on top. A nonlinear and nonconvex minimization problem is deduced and transferred to a suitable finite element space. Existence of minimizers is proven in the continuous and the discrete case before the discrete problem is solved numerically. The numerical simulations show a good agreement with corresponding physical experiments.

Topics
  • impedance spectroscopy
  • polymer
  • experiment
  • simulation
  • Silicon
  • defect
  • elasticity