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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Obaidat, Ihab M.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Fabricating Planar Perovskite Solar Cells through a Greener Approach.4citations
  • 2023A Facile Two-Step Hydrothermal Synthesis of Co(OH)2@NiCo2O4 Nanosheet Nanocomposites for Supercapacitor Electrodes10citations
  • 2023Diethanolamine Modified Perovskite-Substrate Interface for Realizing Efficient ESL-Free PSCs.5citations
  • 2020Adsorption of methylene blue and rhodamine B on graphene oxide-Fe<sub>3</sub>O<sub>4</sub> nanocomposite: Molecular dynamics and Monte Carlo simulations20citations

Places of action

Chart of shared publication
Tabet, Nouar
1 / 1 shared
Alzahmi, Salem
2 / 3 shared
Haik, Yousef
1 / 3 shared
Alzahmi, Salem S.
1 / 1 shared
Rusydi, Andrivo
1 / 5 shared
Vijayalakshmi, L.
1 / 1 shared
Wei, Dong
1 / 1 shared
Salem, Imen Ben
1 / 1 shared
Park, Jongee
1 / 1 shared
Alaabed, Sulaiman
1 / 2 shared
Srivastava, Chandan
1 / 5 shared
Aslam, Mohammed
1 / 3 shared
Kumar, Hemant
1 / 2 shared
Narayanaswamy, Venkatesha
1 / 2 shared
Mallya, Ambresh
1 / 3 shared
Chart of publication period
2024
2023
2020

Co-Authors (by relevance)

  • Tabet, Nouar
  • Alzahmi, Salem
  • Haik, Yousef
  • Alzahmi, Salem S.
  • Rusydi, Andrivo
  • Vijayalakshmi, L.
  • Wei, Dong
  • Salem, Imen Ben
  • Park, Jongee
  • Alaabed, Sulaiman
  • Srivastava, Chandan
  • Aslam, Mohammed
  • Kumar, Hemant
  • Narayanaswamy, Venkatesha
  • Mallya, Ambresh
OrganizationsLocationPeople

article

Adsorption of methylene blue and rhodamine B on graphene oxide-Fe<sub>3</sub>O<sub>4</sub> nanocomposite: Molecular dynamics and Monte Carlo simulations

  • Obaidat, Ihab M.
  • Alaabed, Sulaiman
  • Srivastava, Chandan
  • Aslam, Mohammed
  • Kumar, Hemant
  • Narayanaswamy, Venkatesha
  • Mallya, Ambresh
Abstract

<jats:p>Graphene oxide based magnetic nanocomposite (GO-Fe<jats:sub>3</jats:sub>O<jats:sub>4</jats:sub>) was synthesized using the coprecipitation method. Intercalation of nanoparticles has resulted in the modified interlayer spacing of GO sheets, it is increased from 0.82 to 1.11 nm. Nanocomposite was characterizedusing TEM, AFM, XRD, UV-Visible and Raman spectroscopy. Magnetic nanocomposite is tested for removal of industrial dyes MB and RB through the adsorption process. The adsorbent dosage, dye concentration, and adsorption time are optimized in an optimal condition in the dye removal experiments(0.1 g/L adsorbent (GO), 10 mg/L of MB and RB with 25 minutes adsorption time). Adsorption capacity of 100 and 80 mg/g was achieved for MB and RB respectively. Preferential behavior of nanocomposite towards MB over RB can be attributed to the differential electrostatic and geometrical interactions.Differential behavior towards adsorption of dyes is further studied by Monte Carlo adsorption locator and molecular dynamics simulations. Adsorption energies corresponding to MB/GO, RB/GO, MB/Fe<jats:sub>3</jats:sub>O<jats:sub>4</jats:sub>, and RB/Fe<jats:sub>3</jats:sub>O<jats:sub>4</jats:sub> systems show that certain configurationsfavor adsorption on GO and Fe<jats:sub>3</jats:sub>O<jats:sub>4</jats:sub> surfaces. Radial distribution function calculation shows the geometric separation of 2.23 and 5.13 Å for MB and RB respectively, which has profound effect on electrostatic and <jats:italic>π-π</jats:italic> interaction.</jats:p>

Topics
  • nanoparticle
  • nanocomposite
  • impedance spectroscopy
  • surface
  • x-ray diffraction
  • experiment
  • simulation
  • atomic force microscopy
  • molecular dynamics
  • transmission electron microscopy
  • Raman spectroscopy