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 (1/1 displayed)

  • 2018Microstructure design using graphs24citations

Places of action

Chart of shared publication
Wodo, Olga
1 / 3 shared
Zola, Jaroslaw
1 / 1 shared
Ganapathysubramanian, Baskar
1 / 1 shared
Zebrowski, Adrian
1 / 1 shared
Chart of publication period
2018

Co-Authors (by relevance)

  • Wodo, Olga
  • Zola, Jaroslaw
  • Ganapathysubramanian, Baskar
  • Zebrowski, Adrian
OrganizationsLocationPeople

article

Microstructure design using graphs

  • Wodo, Olga
  • Zola, Jaroslaw
  • Ganapathysubramanian, Baskar
  • Du, Pengfei
  • Zebrowski, Adrian
Abstract

<jats:title>Abstract</jats:title><jats:p>Thin films with tailored microstructures are an emerging class of materials with applications such as battery electrodes, organic electronics, and biosensors. Such thin film devices typically exhibit a multi-phase microstructure that is confined, and show large anisotropy. Current approaches to microstructure design focus on optimizing bulk properties, by tuning features that are statistically averaged over a representative volume. Here, we report a tool for morphogenesis posed as a graph-based optimization problem that evolves microstructures recognizing confinement and anisotropy constraints. We illustrate the approach by designing optimized morphologies for photovoltaic applications, and evolve an initial morphology into an optimized morphology exhibiting substantially improved short circuit current (68% improvement over a conventional bulk-heterojunction morphology). We show optimized morphologies across a range of thicknesses exhibiting self-similar behavior. Results suggest that thicker films (250 nm) can be used to harvest more incident energy. Our graph based morphogenesis is broadly applicable to microstructure-sensitive design of batteries, biosensors and related applications.</jats:p>

Topics
  • impedance spectroscopy
  • microstructure
  • phase
  • thin film