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)

  • 2020Branching of twins in shape memory alloys revisited25citations

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Chart of shared publication
Benešová, Barbora
1 / 2 shared
Dabade, Vivekanand
1 / 3 shared
Seiner, Hanuš
1 / 6 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Benešová, Barbora
  • Dabade, Vivekanand
  • Seiner, Hanuš
OrganizationsLocationPeople

article

Branching of twins in shape memory alloys revisited

  • Benešová, Barbora
  • Dabade, Vivekanand
  • Plucinsky, Paul
  • Seiner, Hanuš
Abstract

<p>We study the branching of twins appearing in shape memory alloys at the interface between austenite and martensite. In the framework of three-dimensional non-linear elasticity theory, we propose an explicit, low-energy construction of the branched microstructure, generally applicable to any shape memory material without restrictions on the symmetry class of martensite or on the geometric parameters of the interface. We show that the suggested construction follows the expected energy scaling law, i.e., that (for the surface energy of the twins being sufficiently small) the branching leads to energy reduction. Furthermore, the construction can be modified to capture different features of experimentally observed microstructures without violating this scaling law. By using a numerical procedure, we demonstrate that the proposed construction is able to predict realistically the twin width in a Cu-Al-Ni single crystal and to estimate an upper bound to the number of the branching generations.</p>

Topics
  • impedance spectroscopy
  • surface
  • single crystal
  • theory
  • elasticity
  • surface energy