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 (2/2 displayed)

  • 2024Microstructure development during rapid alloy solidification4citations
  • 2021Orientation Gradients in Rapidly Solidified Pure Aluminum Thin Films25citations

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Chart of shared publication
Karma, Alain
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Clarke, Amy J.
1 / 11 shared
Laukkanen, Anssi
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Wiezorek, Jörg M. K.
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Pinomaa, Tatu
1 / 38 shared
Jreidini, Paul
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Provatas, Nikolas
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2024
2021

Co-Authors (by relevance)

  • Karma, Alain
  • Clarke, Amy J.
  • Laukkanen, Anssi
  • Wiezorek, Jörg M. K.
  • Pinomaa, Tatu
  • Jreidini, Paul
  • Provatas, Nikolas
OrganizationsLocationPeople

article

Orientation Gradients in Rapidly Solidified Pure Aluminum Thin Films

  • Laukkanen, Anssi
  • Wiezorek, Jörg M. K.
  • Pinomaa, Tatu
  • Jreidini, Paul
  • Mckeown, Joseph T.
  • Provatas, Nikolas
Abstract

Rapid solidification experiments on thin film aluminum samples reveal the presence of lattice orientation gradients within crystallizing grains. To study this phenomenon, a single-component phase-field crystal (PFC) model that captures the properties of solid, liquid, and vapor phases is proposed to model pure aluminium quantitatively. A coarse-grained amplitude representation of this model is used to simulate solidification in samples approaching micrometer scales. The simulations reproduce the experimentally observed orientation gradients within crystallizing grains when grown at experimentally relevant rapid quenches. We propose a causal connection between defect formation and orientation gradients.

Topics
  • impedance spectroscopy
  • grain
  • phase
  • experiment
  • thin film
  • simulation
  • aluminium
  • defect
  • pure aluminum
  • rapid solidification