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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2019Crystallization of Mordenite Platelets using Cooperative Organic Structure-Directing Agents48citations
  • 2014A photochemical approach to directing flow and stabilizing topography in polymer films16citations
  • 2014Precision Marangoni-driven patterning32citations
  • 2012Patterning by photochemically directing the Marangoni Effect61citations

Places of action

Chart of shared publication
Clark, R. John
1 / 1 shared
Zeng, Zhiyuan
1 / 1 shared
Rimer, Jeffrey D.
1 / 1 shared
Zheng, Qi
1 / 1 shared
Chmelka, Bradley F.
1 / 6 shared
Mccusker, Lynne B.
1 / 3 shared
Palmer, Jeremy C.
1 / 3 shared
Kumar, Manjesh
1 / 1 shared
Berkson, Zachariah J.
1 / 1 shared
Shen, Yufeng
1 / 2 shared
Zheng, Haimei
1 / 1 shared
Katzenstein, Joshua M.
3 / 4 shared
Janes, Dustin W.
3 / 10 shared
Kim, Chae Bin
2 / 9 shared
Li, Zhenpeng
1 / 3 shared
Katsumata, Reika
1 / 4 shared
Blachut, Gregory
1 / 7 shared
Arshad, Talha A.
1 / 1 shared
Bonnecaze, Roger T.
1 / 3 shared
Mcguffin, Dana L.
1 / 2 shared
Cushen, Julia D.
1 / 2 shared
Hira, Nikhil B.
1 / 1 shared
Chart of publication period
2019
2014
2012

Co-Authors (by relevance)

  • Clark, R. John
  • Zeng, Zhiyuan
  • Rimer, Jeffrey D.
  • Zheng, Qi
  • Chmelka, Bradley F.
  • Mccusker, Lynne B.
  • Palmer, Jeremy C.
  • Kumar, Manjesh
  • Berkson, Zachariah J.
  • Shen, Yufeng
  • Zheng, Haimei
  • Katzenstein, Joshua M.
  • Janes, Dustin W.
  • Kim, Chae Bin
  • Li, Zhenpeng
  • Katsumata, Reika
  • Blachut, Gregory
  • Arshad, Talha A.
  • Bonnecaze, Roger T.
  • Mcguffin, Dana L.
  • Cushen, Julia D.
  • Hira, Nikhil B.
OrganizationsLocationPeople

article

Precision Marangoni-driven patterning

  • Katzenstein, Joshua M.
  • Janes, Dustin W.
  • Prisco, Nathan A.
  • Kim, Chae Bin
  • Arshad, Talha A.
  • Bonnecaze, Roger T.
Abstract

<p>A Marangoni flow is shown to occur when a polymer film possessing a spatially-defined surface energy pattern is heated above its glass transition to the liquid state. This can be harnessed to rapidly manufacture polymer films possessing prescribed height profiles. To quantify and verify this phenomenon, a model is described here which accurately predicts the formation, growth, and eventual dissipation of topographical features. The model predictions, based on numerical solutions of equations governing thin film dynamics with a Marangoni stress, are quantitatively compared to experimental measurements of thin polystyrene films containing photochemically patterned surface energy gradients. Good agreement between the model and the data is achieved at temperatures between 120 and 140 °C for a comprehensive range of heating times using reasonable physical properties as parameter inputs. For example, thickness variations that measure 102% of the starting film thickness are achieved in only 12 minutes of heating at 140 °C, values that are predicted by the model are within 6% and 3 min, respectively. The photochemical pattern that directed this flow possessed only a 0.2 dyne cm<sup>-1</sup> variation in surface tension between exposed and unexposed regions. The physical insights from the validated model suggest promising strategies to maximize the aspect ratio of the topographical features and minimize the processing time necessary to develop them.</p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • thin film
  • glass
  • glass
  • surface energy