Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Leroy, Philippe

  • Google
  • 5
  • 15
  • 395

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2018Spectral induced polarization of nanoporous mediacitations
  • 2016Modelling the spectral induced polarization response of water-saturated sands in the intermediate frequency range (102–105 Hz) using mechanistic and empirical approaches16citations
  • 2013Influence of surface conductivity on the apparent zeta potential of TiO2 nanoparticles: application to the modeling of their aggregation kinetics55citations
  • 2013Influence of surface conductivity on the apparent zeta potential of amorphous silica nanoparticles135citations
  • 2009A mechanistic model for the spectral induced polarization of clay materials189citations

Places of action

Chart of shared publication
Hördt, Andreas
1 / 3 shared
Bücker, Matthias
1 / 1 shared
Zimmermann, Egon
1 / 1 shared
Huisman, Johan Alexander
1 / 1 shared
Kremer, Thomas
1 / 1 shared
Maineult, Alexis
1 / 5 shared
Agrinier, Pierre
1 / 2 shared
Schmutz, Myriam
1 / 1 shared
Ollivier, Patrick
1 / 4 shared
Mercury, Lionel
1 / 1 shared
Azaroual, Mohamed
1 / 1 shared
Sameut-Bouhaik, Izzeddine
1 / 1 shared
Revil, André
2 / 7 shared
Devau, Nicolas
1 / 1 shared
Bizi, Mohamed
1 / 2 shared
Chart of publication period
2018
2016
2013
2009

Co-Authors (by relevance)

  • Hördt, Andreas
  • Bücker, Matthias
  • Zimmermann, Egon
  • Huisman, Johan Alexander
  • Kremer, Thomas
  • Maineult, Alexis
  • Agrinier, Pierre
  • Schmutz, Myriam
  • Ollivier, Patrick
  • Mercury, Lionel
  • Azaroual, Mohamed
  • Sameut-Bouhaik, Izzeddine
  • Revil, André
  • Devau, Nicolas
  • Bizi, Mohamed
OrganizationsLocationPeople

article

Influence of surface conductivity on the apparent zeta potential of TiO2 nanoparticles: application to the modeling of their aggregation kinetics

  • Ollivier, Patrick
  • Mercury, Lionel
  • Leroy, Philippe
  • Azaroual, Mohamed
  • Sameut-Bouhaik, Izzeddine
Abstract

Titanium dioxide nanoparticles (TiO2 NPs) are extensively used in consumer products. The release of these NPs into aquatic environments raises the question of their possible risks to the environment and human health. The magnitude of the threat may depend on whether TiO2 NPs are aggregated or dispersed. Currently, limited information is available on this subject. A new approach based on DLVO theory is proposed to describe aggregation kinetics of TiO2 NPs in aqueous dispersions. It has the advantage of using zeta potentials directly calculated by an electrostatic surface complexation model whose parameters are calibrated by ab-initio calculations, crystallographic studies, potentiometric titration and electrophoretic mobility experiments. Indeed, the conversion of electrophoretic mobility measurements into zeta potentials is very complex for metal oxide nanoparticles. This is due to their very high surface electrical conductivity associated with the electromigration of counter and co-ions in their electrical double layer. Our model has only three adjustable parameters (the minimum separation distance between NPs, the Hamaker constant, and the effective interaction radius of the particle), and predicts very well the stability ratios of TiO2 NPs measured at different pH values and over a broad range of ionic strengths (KCl aqueous solution). We found an effective interaction radius that is significantly smaller than the radius of the aggregate and corresponds to the radius of surface crystallites or small clusters of surface crystallites formed during synthesis of primary particles. Our results confirm that DLVO theory is relevant to predict aggregation kinetics of TiO2 NPs if the double layer interaction energy is estimated accurately.

Topics
  • nanoparticle
  • impedance spectroscopy
  • dispersion
  • surface
  • cluster
  • mobility
  • theory
  • experiment
  • strength
  • titanium
  • electrical conductivity
  • pH value
  • titration