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)

  • 2020Control of Marangoni-driven patterning by an optimized distribution of surface energy3citations
  • 2017Generating Large Thermally Stable Marangoni-Driven Topography in Polymer Films by Stabilizing the Surface Energy Gradient19citations
  • 2014Precision Marangoni-driven patterning32citations

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Chart of shared publication
Stanley, Steven K.
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Kim, Chae Bin
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Katsumata, Reika
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Ha, Heonjoo
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Zhou, Sunshine X.
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Jones, Amanda R.
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Katzenstein, Joshua M.
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Janes, Dustin W.
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Prisco, Nathan A.
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Arshad, Talha A.
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Chart of publication period
2020
2017
2014

Co-Authors (by relevance)

  • Stanley, Steven K.
  • Kim, Chae Bin
  • Katsumata, Reika
  • Blachut, Gregory
  • Ha, Heonjoo
  • Zhou, Sunshine X.
  • Jones, Amanda R.
  • Katzenstein, Joshua M.
  • Janes, Dustin W.
  • Prisco, Nathan A.
  • Arshad, Talha A.
OrganizationsLocationPeople

article

Control of Marangoni-driven patterning by an optimized distribution of surface energy

  • Bonnecaze, Roger T.
  • Stanley, Steven K.
Abstract

<p>We computationally demonstrate a method to control Marangoni-driven flows and create patterns with sharp features on polymer films by optimizing the spatial variation of surface energy or tension. This Marangoni-driven patterning (MDP) uses the variations in surface tension to drive fluid flow. By selectively exposing a thin polymer film to UV light, a photochemical reaction takes place, which subsequently alters the surface tension of the polymer film in the exposed regions. On heating above its glass transition temperature, the polymer flows from regions of lower to higher surface tension to form hill-and-valley features. A barrier to advancing the application of MDP is that the flow will often dull sharp features and degrade the fidelity of the desired pattern. To compensate a pixel-based optimization of the surface energy or equivalently, the photoexposure pattern is developed. A genetic algorithm is used to search for the optimum photoexposure pattern based on simulations of the flow, which includes Marangoni and capillary forces and diffusion of the surface tension promoter. The optimization of the photoexposure pattern significantly improves the fidelity of the desired final pattern for a wide range of annealing temperatures and times. Guidelines for successful MDP are identified based on ratios of characteristic times for the Marangoni and capillary flows and lateral diffusion.</p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • simulation
  • glass
  • glass
  • glass transition temperature
  • annealing
  • surface energy