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 (4/4 displayed)

  • 2021Ferroelectric-assisted high-performance triboelectric nanogenerators based on electrospun P(VDF-TrFE) composite nanofibers with barium titanate nanofillers92citations
  • 2021Sensitivity of material failure to surface roughness: a study on titanium alloys Ti64 and Ti40738citations
  • 2020Synthesis and characterization of additive graphene oxide nanoparticles dispersed in water: Experimental and theoretical viscosity prediction of non‐Newtonian nanofluid41citations
  • 2020Magnetism and anomalous transport in the Weyl semimetal PrAlGe: possible route to axial gauge fields103citations

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Chart of shared publication
Dahiya, Ravinder
1 / 20 shared
Hosseini, Ensieh Seyed
1 / 1 shared
Pullanchiyodan, Abhilash
1 / 4 shared
Mulvihill, Daniel M.
2 / 13 shared
Min, Guanbo
1 / 2 shared
Dahiya, Abhishek Singh
1 / 10 shared
Dixon, Mark
1 / 3 shared
Rugg, David
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Li, Peifeng
1 / 3 shared
Sneddon, Scott
1 / 11 shared
Li, Zhixiong
1 / 1 shared
Bach, Quangvu
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Karimipour, Arash
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Malekahmadi, Omid
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Nguyen, Quyen
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Hadi, Ramin
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Mardani, Ali
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Ranjbarzadeh, Ramin
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Jokar, Zahra
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Grushin, Adolfo G.
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Chang, Johan
1 / 8 shared
Kohlbrecher, Joachim
1 / 12 shared
Destraz, Daniel
1 / 1 shared
Puphal, Pascal
1 / 3 shared
Neupert, Titus
1 / 8 shared
Das, Lakshmi
1 / 4 shared
Keller, Lukas
1 / 6 shared
Pomjakushina, Ekaterina
1 / 16 shared
Tsirkin, Stepan S.
1 / 4 shared
Schilling, A.
1 / 19 shared
White, Jonathan S.
1 / 2 shared
Chart of publication period
2021
2020

Co-Authors (by relevance)

  • Dahiya, Ravinder
  • Hosseini, Ensieh Seyed
  • Pullanchiyodan, Abhilash
  • Mulvihill, Daniel M.
  • Min, Guanbo
  • Dahiya, Abhishek Singh
  • Dixon, Mark
  • Rugg, David
  • Li, Peifeng
  • Sneddon, Scott
  • Li, Zhixiong
  • Bach, Quangvu
  • Karimipour, Arash
  • Malekahmadi, Omid
  • Nguyen, Quyen
  • Hadi, Ramin
  • Mardani, Ali
  • Ranjbarzadeh, Ramin
  • Jokar, Zahra
  • Grushin, Adolfo G.
  • Chang, Johan
  • Kohlbrecher, Joachim
  • Destraz, Daniel
  • Puphal, Pascal
  • Neupert, Titus
  • Das, Lakshmi
  • Keller, Lukas
  • Pomjakushina, Ekaterina
  • Tsirkin, Stepan S.
  • Schilling, A.
  • White, Jonathan S.
OrganizationsLocationPeople

article

Synthesis and characterization of additive graphene oxide nanoparticles dispersed in water: Experimental and theoretical viscosity prediction of non‐Newtonian nanofluid

  • Li, Zhixiong
  • Xu, Yang
  • Bach, Quangvu
  • Karimipour, Arash
  • Malekahmadi, Omid
  • Nguyen, Quyen
  • Hadi, Ramin
  • Mardani, Ali
  • Ranjbarzadeh, Ramin
  • Jokar, Zahra
Abstract

<jats:p>Graphene oxide (GO) is a mixture of carbon, oxygen, and hydrogen. GO sheets used to make tough composite materials, thin films, and membranes. GO‐water nanofluid's rheological behavior was investigated in this research. Various mass fractions: 1.0, 1.5, 2.0, 2.5, and 3.5 mg/ml; different temperature ranges: 25°C, 30°C, 35°C, 40°C, 45°C, and 50°C; and several shear ranges: 12.23, 24.46, 36.69, 61.15, 73.38, and 122.3 s<jats:sup>−1</jats:sup> were studied. X‐ray diffraction analysis (XRD), energy dispersive X‐ray analysis (EDX), dynamic light scattering analysis (DLS), and Fourier‐transform infrared (FTIR) tests studied to analyze phase and structure. Field emission scanning electron microscope (FESEM) and transmission electron microscopy (TEM) tests studied for microstructural observation. The stability of nanofluid was checked by the zeta‐potential test. Non‐Newtonian behavior of nanofluid, similar to power‐law model (with power less than one), revealed by results. Also, results showed that viscosity increased by increment of mass fraction, and on the contrary, increment of temperature, caused a decrease in viscosity. Then, to calculate nanofluid's viscosity, a correlation presented 1.88% (for RPM = 10) and 0.56% (for RPM = 100) deviation. Finally, to predict nanofluid's viscosity in other mass fractions and temperatures, an artificial neural network has been modeled by <jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.99. It can be concluded that GO can be used in thermal systems as stable nanofluid with agreeable viscosity.</jats:p>

Topics
  • nanoparticle
  • impedance spectroscopy
  • Carbon
  • phase
  • x-ray diffraction
  • thin film
  • Oxygen
  • laser emission spectroscopy
  • composite
  • viscosity
  • Hydrogen
  • transmission electron microscopy
  • Energy-dispersive X-ray spectroscopy
  • dynamic light scattering