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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CIC nanoGUNE

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Emergence of Exotic Spin Texture in Supramolecular Metal Complexes on a 2D Superconductorcitations
  • 2022Engineering the shape memory parameters of graphene/polymer nanocomposites through atomistic simulations: On the effect of nanofiller surface treatment8citations
  • 2022Conductive and Semiconductive Nanocomposite‐Based Hydrogels for Cardiac Tissue Engineering57citations
  • 2021Designing a polymer blend nanocomposite with triple shape memory effects33citations

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Chart of shared publication
Silveira, Orlando J.
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Lado, Jose L.
1 / 6 shared
Kezilebieke, Shawulienu
1 / 2 shared
Liljeroth, Peter
1 / 7 shared
Donati, Fabio
1 / 2 shared
Yan, Linghao
1 / 2 shared
Reale, Stefano
1 / 1 shared
Lee, Jaehyun
1 / 3 shared
Martikainen, Atte
1 / 1 shared
Kelai, Massine
1 / 1 shared
Foster, Adam S.
1 / 9 shared
Longo, Danilo
1 / 3 shared
Hasheminejad, Kourosh
1 / 2 shared
Baradaran, Behzad
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Sahebkar, Amirhossein
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Mohammadzadeh, Reza
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Alamdari, Sania Ghobadi
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Alibakhshi, Abbas
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Guardia, Miguel De La
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Kesharwani, Prashant
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Montazeri, Abbas
1 / 3 shared
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Co-Authors (by relevance)

  • Silveira, Orlando J.
  • Lado, Jose L.
  • Kezilebieke, Shawulienu
  • Liljeroth, Peter
  • Donati, Fabio
  • Yan, Linghao
  • Reale, Stefano
  • Lee, Jaehyun
  • Martikainen, Atte
  • Kelai, Massine
  • Foster, Adam S.
  • Longo, Danilo
  • Hasheminejad, Kourosh
  • Baradaran, Behzad
  • Sahebkar, Amirhossein
  • Mohammadzadeh, Reza
  • Alamdari, Sania Ghobadi
  • Alibakhshi, Abbas
  • Guardia, Miguel De La
  • Kesharwani, Prashant
  • Montazeri, Abbas
OrganizationsLocationPeople

article

Engineering the shape memory parameters of graphene/polymer nanocomposites through atomistic simulations: On the effect of nanofiller surface treatment

  • Hasheminejad, Kourosh
  • Amini, Mohammad
Abstract

<jats:title>Abstract</jats:title><jats:p>This paper aims to comprehend the mechanisms underlying the shape memory behavior of polylactic acid infused with graphene functionalized by four groups of –OH, –CH<jats:sub>3</jats:sub>, –NH<jats:sub>2</jats:sub>, and tethered polymer layer. Applying molecular dynamics simulation, it is revealed that the graphene surface treatment enhances the shape fixity ratio of nanocomposites monotonically by increasing the physical cross-linking points within the polymer matrix. The improvement would be even more pronounced by increasing the coverage degree of small functional groups and grafting density of the covalently bonded polymer chains. Monitoring the key parameters illustrates that contrary to the OH groups, which improve the shape recovery value, the other functional groups degrade it by prohibiting the polymer chains mobility. Attempts to explore the governing mechanism demonstrate that shape fixity is improved when the difference between the potential energy variations in the loading and unloading stages increases. Interestingly, shape recovery is only under the influence of conformational entropy, and it is not affected by the potential energy. As such, we also probe variations of the radius of gyration during the recovery stage to address the role of different functionalization procedures on the reported shape recovery parameter.</jats:p>

Topics
  • nanocomposite
  • density
  • impedance spectroscopy
  • surface
  • polymer
  • mobility
  • simulation
  • molecular dynamics
  • functionalization