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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Goriely, Alain

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University of Oxford

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2021Instabilities in liquid crystal elastomers24citations
  • 2015A comparison of hyperelastic constitutive models applicable to brain and fat tissues197citations
  • 2015High-quality bulk hybrid perovskite single crystals within minutes by inverse temperature crystallization1700citations
  • 2015Controlled topological transitions in thin-film phase separation2citations
  • 2014Propagating topological transformations in thin immiscible bilayer films5citations
  • 2014Nonlinear Poisson effects in soft honeycombs10citations
  • 2013Propagating topological transformations in thin immiscible bilayer filmscitations
  • 2013Controlled topological transitions in thin film phase separationcitations

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Chart of shared publication
Mihai, La
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Mihai, L. Angela
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Chin, Likang
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Janmey, Paul A.
1 / 2 shared
Burlakov, Victor M.
5 / 5 shared
Peng, Wei
1 / 9 shared
Abdelhady, Ahmed L.
1 / 8 shared
Alarousu, Erkki
1 / 14 shared
Maculan, Giacomo
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Wang, Lingfei
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He, Yao
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Banavoth, Murali
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Wagner, Barbara
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Münch, Andreas
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Hennessy, Mg
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Mihai, Loredana Angela
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Hennessy, Matthew G.
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2015
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Co-Authors (by relevance)

  • Mihai, La
  • Mihai, L. Angela
  • Chin, Likang
  • Janmey, Paul A.
  • Burlakov, Victor M.
  • Peng, Wei
  • Abdelhady, Ahmed L.
  • Alarousu, Erkki
  • Maculan, Giacomo
  • Wang, Lingfei
  • He, Yao
  • Banavoth, Murali
  • Wagner, Barbara
  • Münch, Andreas
  • Hennessy, Mg
  • Mihai, Loredana Angela
  • Hennessy, Matthew G.
OrganizationsLocationPeople

article

A comparison of hyperelastic constitutive models applicable to brain and fat tissues

  • Mihai, L. Angela
  • Chin, Likang
  • Janmey, Paul A.
  • Goriely, Alain
Abstract

In some soft biological structures such as brain and fat tissues, strong experimental evidence suggests that the shear modulus increases significantly under increasing compressive strain, but not under tensile strain, while the apparent Young’s elastic modulus increases or remains almost constant when compressive strain increases. These tissues also exhibit a predominantly isotropic, incompressible behaviour. Our aim is to capture these seemingly contradictory mechanical behaviours, both qualitatively and quantitatively, within the framework of finite elasticity, by modelling a soft tissue as a homogeneous, isotropic, incompressible, hyperelastic material and comparing our results with available experimental data. Our analysis reveals that Fung and Gent models, which are typically used to model soft tissues, are inadequate for the modelling of brain or fat under combined stretch and shear, and so are the classical neo-Hookean and Mooney-Rivlin models used for elastomers. However, a sub-class of Ogden hyperelastic models are found to be in excellent agreement with the experiments. Our findings provide explicit models suitable for integration in large-scale finite element computations.

Topics
  • impedance spectroscopy
  • experiment
  • elasticity
  • isotropic
  • elastomer