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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Schmidt, V.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2019Statistical 3D analysis and modeling of complex particle systems based on tomographic image data2citations
  • 2018Electro-chemo-mechanical simulation of 3D-microstructures for lithium-ion batteriescitations
  • 2017Organic and hybrid solar cells based onwell-defined organic semiconductors and morphologies1citations
  • 2016Impact of micro-alloying on the plasticity of Pd-based bulk metallic glasses65citations
  • 2015Stochastic modeling and predictive simulations for the microstructure of organic semiconductor films processed with different spin coating velocities16citations
  • 2015Quantitative Measurement of Density in a Shear Band of Metallic Glass Monitored Along its Propagation Direction129citations
  • 2012A new approach to model-based simulation of disordered polymer blend solar cells24citations

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Chart of shared publication
Furat, Orkun
1 / 10 shared
Weber, M.
1 / 42 shared
Westhoff, D.
2 / 2 shared
Prifling, B.
1 / 1 shared
Feinauer, J.
1 / 1 shared
Müller, R.
1 / 31 shared
Zausch, J.
1 / 2 shared
Hofmann, T.
1 / 10 shared
Andrä, H.
1 / 17 shared
Bäuerle, P.
1 / 8 shared
Mishra, A.
1 / 10 shared
Janssen, René A. J.
3 / 151 shared
Binkowski, I.
1 / 4 shared
Nollmann, N.
1 / 2 shared
Rösner, H.
2 / 74 shared
Wilde, Gerhard
2 / 265 shared
Brereton, T.
1 / 1 shared
Kroese, D. P.
1 / 1 shared
Westhof, D.
1 / 1 shared
Van, J. J. Franeker
1 / 2 shared
Peterlechner, M.
1 / 24 shared
Voyles, P. M.
1 / 1 shared
Oosterhout, Sd Stefan
1 / 1 shared
Stenzel, O. Ole
1 / 1 shared
Thiedmann, R.
1 / 1 shared
Koster, Lja Jan Anton
1 / 2 shared
Chart of publication period
2019
2018
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Co-Authors (by relevance)

  • Furat, Orkun
  • Weber, M.
  • Westhoff, D.
  • Prifling, B.
  • Feinauer, J.
  • Müller, R.
  • Zausch, J.
  • Hofmann, T.
  • Andrä, H.
  • Bäuerle, P.
  • Mishra, A.
  • Janssen, René A. J.
  • Binkowski, I.
  • Nollmann, N.
  • Rösner, H.
  • Wilde, Gerhard
  • Brereton, T.
  • Kroese, D. P.
  • Westhof, D.
  • Van, J. J. Franeker
  • Peterlechner, M.
  • Voyles, P. M.
  • Oosterhout, Sd Stefan
  • Stenzel, O. Ole
  • Thiedmann, R.
  • Koster, Lja Jan Anton
OrganizationsLocationPeople

article

A new approach to model-based simulation of disordered polymer blend solar cells

  • Oosterhout, Sd Stefan
  • Stenzel, O. Ole
  • Thiedmann, R.
  • Schmidt, V.
  • Koster, Lja Jan Anton
  • Janssen, René A. J.
Abstract

The 3D nanomorphology of blends of two different (organic and inorganic) solid phases as used in bulk heterojunction solar cells is described by a spatial stochastic model. The model is fitted to 3D image data describing the photoactive layer of poly(3-hexylthiophene)-ZnO (P3HT-ZnO) solar cells fabricated with varying spin-coating velocities. A scenario analysis is performed where 3D morphologies are simulated for different spin-coating velocities to elucidate the correlation between processing conditions, morphology, and efficiency of hybrid P3HT-ZnO solar cells. The simulated morphologies are analyzed quantitatively in terms of structural and physical characteristics. It is found that there is a tendency for the morphology to coarsen with increasing spin-coating velocity, creating larger domains of P3HT and ZnO. The impact of the spin-coating velocity on the connectivity of the morphology and the existence of percolation pathways for charge carriers in the resulting films appears insignificant, but the quality of percolation pathways, considering the charge carrier mobility, strongly varies with the spin-coating velocity, especially in the ZnO phase. Also, the exciton quenching efficiency decreases significantly for films deposited at large spin-coating velocities. The stochastic simulation model investigated is compared to a simulated annealing model and is found to provide a better fit to the experimental data.

Topics
  • impedance spectroscopy
  • morphology
  • phase
  • mobility
  • simulation
  • annealing
  • quenching
  • polymer blend