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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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 (6/6 displayed)

  • 2022Surface induced melting of long Al nanowires: phase field model and simulations for pressure loading and without it10citations
  • 2020Effect of functionally-graded interphase on the elasto-plastic behavior of nylon-6/clay nanocomposites; a numerical study17citations
  • 2019Micromechanical evaluation of failure models for unidirectional fiber-reinforced composites3citations
  • 2018Formulation of a consistent pressure-dependent damage model with fracture energy as input10citations
  • 2017A unified framework for stochastic predictions of Young's modulus of clay/epoxy nanocomposites (PCNs)citations
  • 2014Stochastic modelling of clay/epoxy nanocomposites59citations

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Eskandari, Shekoofeh Salehi
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Bazmara, Maziyar
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Dayyani, Iman
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Salimi, Mahmoud
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Arefi, Azam
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Forouzan, Mohammad Reza
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Zhuang, Xiaoying
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Lahmer, Tom
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Vu-Bac, N.
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Co-Authors (by relevance)

  • Eskandari, Shekoofeh Salehi
  • Bazmara, Maziyar
  • Dayyani, Iman
  • Salimi, Mahmoud
  • Arefi, Azam
  • Forouzan, Mohammad Reza
  • Zhuang, Xiaoying
  • Lahmer, Tom
  • Vu-Bac, N.
  • Rabczuk, Timon
  • Kerfriden, Pierre
  • Ziaei-Rad, Saeed
  • Talebi, Hossein
  • Bordas, Stéphane
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article

Surface induced melting of long Al nanowires: phase field model and simulations for pressure loading and without it

  • Eskandari, Shekoofeh Salehi
  • Silani, Mohammad
Abstract

<jats:title>Abstract</jats:title><jats:p>In this paper, melting of long Al nanowires is studied using a phase field model in which deviatoric transformation strain described by a kinetic equation produces a promoting driving force for both melting and solidification and consequently, a lower melting temperature is resolved. The coupled system of the Ginzburg–Landau equation for solidification/melting transformation, the kinetic equation for the deviatoric transformation strain and elasticity equations are solved using the COMSOL finite element code to obtain the evolution of melt solution. A deviatoric strain kinetic coefficient is used which results in the same pressure as that calculated with the Laplace equation in a solid neglecting elastic stresses. The surface and bulk melting temperatures are calculated for different nanowire diameters without mechanical loading which shows a good agreement with existing MD and analytical results. For radii <jats:italic>R</jats:italic> &gt; 5 nm, a complete surface solid-melt interface is created which propagates to the center. For smaller radii, premelting occurs everywhere starting from the surface and the nanowire melts without creating the interface. The melting rate shows an inverse power relationship with radius for <jats:italic>R</jats:italic> &lt; 15 nm. For melting under pressure, the model with constant bulk modulus results in an unphysical parabolic variation versus pressure in contrast to the almost linear increase of the melting temperature versus pressure from known MD simulations. Such drawback is resolved by considering the pressure dependence of the bulk modulus through the Murnaghan’s equation due to which an almost linear increase of the melting temperature versus pressure is obtained. Also, a reduction of the interface width and a significant increase of the melting rate versus pressure are found. The presented model and results allow for a better understanding of the premelting and melting of different metallic nanowires with various loading conditions and structural defects.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • melt
  • molecular dynamics
  • defect
  • elasticity
  • solidification
  • melting temperature
  • bulk modulus