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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Ramos Guivar, Juan Adrian

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Raman, TEM, EELS, and Magnetic Studies of a Magnetically Reduced Graphene Oxide Nanohybrid following Exposure to Daphnia magna Biomarkers7citations
  • 2021Strain and Grain Size of CeO2 and TiO2 Nanoparticles: Comparing Structural and Morphological Methods3citations

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Chart of shared publication
Torres, Jorge Andres Guerra
1 / 5 shared
Zarria-Romero, Jacquelyne Y.
1 / 2 shared
Castro-Merino, Isabel-Liz
1 / 1 shared
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2022
2021

Co-Authors (by relevance)

  • Torres, Jorge Andres Guerra
  • Zarria-Romero, Jacquelyne Y.
  • Castro-Merino, Isabel-Liz
OrganizationsLocationPeople

article

Strain and Grain Size of CeO2 and TiO2 Nanoparticles: Comparing Structural and Morphological Methods

  • Ramos Guivar, Juan Adrian
Abstract

<jats:p>Various crystallite size estimation methods were used to analyze X-ray diffractograms of spherical cerium dioxide and donut-like titanium dioxide anatase nanoparticles aiming to evaluate their reliability and limitations. The microstructural parameters were estimated from Scherrer, Monshi, Williamson-Hall, and their variants: i) uniform deformation model, ii) uniform strain deformation model, and iii) uniform deformation energy density model, and also size-strain plot, and Halder-Wagner method. For that, and improved systematic Matlab code was developed to estimate the crystallite sizes and strain, and the linear regression analysis was used to compare all the models based on the coefficient of determination, where the Halder Wagner method gave the highest value (close to 1). Therefore, being the best candidate to fit the X-ray Diffraction data of metal-oxide nanoparticles. Advanced Rietveld was introduced for comparison purposes. Refined microstructural parameters were obtained from a nanostructured 40.5 nm Lanthanum hexaboride nanoparticles and correlated with the above estimation methods and transmission electron microscopy images. In addition, electron density modelling was also studied for final refined nanostructures, and &amp;mu;-Raman spectra were recorded for each material estimating the mean crystallite size and comparing by means of a phonon confinement model.</jats:p>

Topics
  • nanoparticle
  • density
  • energy density
  • grain
  • grain size
  • x-ray diffraction
  • transmission electron microscopy
  • Lanthanum
  • titanium
  • Cerium