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 (3/3 displayed)

  • 2021Thermal-Mechanical Elastic-Plastic and Ductile Failure Model Calibrations for 6061-T651 Aluminum Alloy from Platecitations
  • 2017Generating Large Thermally Stable Marangoni-Driven Topography in Polymer Films by Stabilizing the Surface Energy Gradient19citations
  • 2016Marangoni instability driven surface relief grating in an azobenzene-containing polymer film45citations

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Fietek, Carter John
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Sanborn, Brett
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Lester, Brian T.
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Kramer, Sharlotte Lorraine Bolyard
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Corona, Edmundo
1 / 3 shared
Kim, Chae Bin
2 / 9 shared
Katsumata, Reika
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Blachut, Gregory
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Bonnecaze, Roger T.
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Ha, Heonjoo
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Zhou, Sunshine X.
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Janes, Dustin W.
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Miller, Kevin M.
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2021
2017
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Co-Authors (by relevance)

  • Fietek, Carter John
  • Sanborn, Brett
  • Lester, Brian T.
  • Kramer, Sharlotte Lorraine Bolyard
  • Corona, Edmundo
  • Kim, Chae Bin
  • Katsumata, Reika
  • Blachut, Gregory
  • Bonnecaze, Roger T.
  • Ha, Heonjoo
  • Zhou, Sunshine X.
  • Janes, Dustin W.
  • Wistrom, James C.
  • Miller, Kevin M.
OrganizationsLocationPeople

article

Generating Large Thermally Stable Marangoni-Driven Topography in Polymer Films by Stabilizing the Surface Energy Gradient

  • Kim, Chae Bin
  • Katsumata, Reika
  • Blachut, Gregory
  • Bonnecaze, Roger T.
  • Ha, Heonjoo
  • Zhou, Sunshine X.
  • Jones, Amanda R.
Abstract

<p>Marangoni forces drive a fluid to flow in response to positional differences in surface energy. In thin polymer films, a difference in surface energy between two coincident liquid polymers could offer a useful route to manufacture topographically patterned surfaces via the Marangoni effect. Previously, we have demonstrated a photochemical method using the Marangoni effect for patterning thin polystyrene films. To generalize the approach, a theoretical model that gives the underlying physics of this process was also developed, which further revealed that low viscosities, low diffusivities, and large surface energy gradients favor rapid evolution of large film thickness variations. However, as described by the Stokes-Einstein equation or the Rouse model, low viscosity is generally correlated with high diffusivity in a single-component system. Herein, we report a strategy to decouple film viscosity and diffusivity by co-casting a high molecular weight surface energy gradient creating copolymer (low diffusivity) with a low molecular weight majority homopolymer (high diffusivity and low viscosity), which are miscible with each other. Patterned light exposure through a photomask imposes a patterned surface energy gradient between light-exposed and unexposed regions due to photochemical reactions involving only the low diffusivity component. Upon heating the film to the liquid state, the film materials (primarily the low viscosity homopolymer component) flow from the low to high surface energy regions. This strategy either eliminates or greatly slows dissipation of the prepatterned surface energy gradient while maintaining rapid feature formation, resulting in formation of ca. 500 nm high features within only 30 min of thermal annealing. Furthermore, the formed features are stable upon extended thermal annealing for up to one month. It is found that a ratio of Marangoni forces to capillary forces can provide a predictive metric that distinguishes which scenarios produce features that dissipate or persist.</p>

Topics
  • impedance spectroscopy
  • surface
  • viscosity
  • casting
  • annealing
  • molecular weight
  • copolymer
  • diffusivity
  • homopolymer
  • surface energy