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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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (19/19 displayed)

  • 20193D Patterning of Si by Contact Etching With Nanoporous Metals15citations
  • 2019A new method of dielectric characterization using a genetic algorithm and a coplanar waveguide on bilayer filmscitations
  • 2017Advances in silicon surface texturization by metal assisted chemical etching for photovoltaic applications1citations
  • 2017Advances in silicon surface texturization by metal assisted chemical etching for photovoltaic applications1citations
  • 20173D patterning of silicon by contact etching with anodically biased nanoporous gold electrodes16citations
  • 2017Microstructuration of Silicon Surfaces Using Nanoporous Gold Electrodescitations
  • 2016Tunable Nanostructuration of Si by MACE with Pt nanoparticles under an applied external biascitations
  • 2016Tunable Nanostructuration of Si by MACE with Pt nanoparticles under an applied external biascitations
  • 2016Tunable Surface Structuration of Silicon by Metal Assisted Chemical Etching with Pt Nanoparticles under Electrochemical Bias33citations
  • 2016Controlled elaboration of high aspect ratio cone-shape pore arrays in silicon by metal assisted chemical etchingcitations
  • 2016Controlled elaboration of high aspect ratio cone-shape pore arrays in silicon by metal assisted chemical etchingcitations
  • 2014Electro-optic and converse-piezoelectric properties of epitaxial GaN grown on silicon by metal-organic chemical vapor deposition11citations
  • 2012Antireflective sol-gel TiO2 thin films for single crystal silicon and textured polycrystal silicon5citations
  • 2010Measurement of the microwave permittivity of polymer materials for high-speed optical modulator designcitations
  • 2010Measurement of the microwave permittivity of polymer materials for high-speed optical modulator designcitations
  • 2010Structure optimization of electro-optic polymer waveguides for low half-wave voltage modulators1citations
  • 2007Epitaxial growth of Ge on a thin SiO2 layer by ultrahigh vacuum chemical vapor deposition21citations
  • 2004Microstructuration of Silicon Surfaces Using Nanoporous Gold Electrodescitations
  • 2004Deposition and characterisation of Ge layers epitaxial grown on silicon for the fabrication of waveguide photodetector.citations

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Chart of shared publication
Magnin, Vincent
9 / 9 shared
Harari, Joseph
11 / 12 shared
Mpogui, Elias
1 / 1 shared
Yarekha, Dmitri
1 / 6 shared
Cachet-Vivier, Christine
9 / 11 shared
Torralba, Encarnacion
3 / 4 shared
Vilcot, Jean-Pierre
15 / 18 shared
Bastide, Stéphane
10 / 16 shared
Le Gall, Sylvain
7 / 12 shared
Dugué, Pierre-Vincent
1 / 1 shared
Hadjloum, Massinissa
1 / 2 shared
Li, Hong Wu
1 / 5 shared
Gibari, Mohammed El
1 / 3 shared
Fouchier, Marin, El
1 / 1 shared
Lachaume, Raphaël
9 / 11 shared
Assimi, Taha, El
1 / 1 shared
Assimi, Taha
1 / 1 shared
Gall, Sylvain Le
4 / 6 shared
Fouchier, Marin
2 / 2 shared
Torralba, Encarnación
1 / 2 shared
El Assimi, Taha
1 / 4 shared
Magnin, V.
2 / 4 shared
Cachet-Vivier, C.
2 / 2 shared
El Assimi, T.
1 / 1 shared
Torralba, E.
2 / 3 shared
Torralba-Penalver, Encarnacion
5 / 5 shared
Bastide, S.
2 / 3 shared
Lachaume, R.
1 / 1 shared
Ko, S. M.
1 / 1 shared
Dogheche, El Hadj
1 / 15 shared
Cuniot-Ponsard, Mireille
1 / 3 shared
Cho, Y. H.
1 / 1 shared
Saraswati, Irma
1 / 1 shared
Capoen, Bruno
1 / 19 shared
Bouazaoui, Mohamed
1 / 19 shared
Arabi, N. H.
1 / 1 shared
El Hamzaoui, Hicham
1 / 13 shared
Iratni, A.
1 / 1 shared
Legier, Jean-François
2 / 3 shared
Fontanieu, Lénaïck
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Paleczny, Erick
2 / 3 shared
Auguste, Kenny Robert Philippe
1 / 1 shared
Mahé, Hind
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Philippe Auguste, Kenny Robert
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Odobel, Fabrice
1 / 25 shared
Bosc, Dominique
1 / 14 shared
Bonnardel, Pierre-Antoine
1 / 1 shared
Gayet, Nicolas
1 / 1 shared
Yam, V.
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Bouchier, D.
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Cammilleri, D.
1 / 1 shared
Fossard, F.
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Renard, Charles
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Rzepka, E.
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Zheng, Y.
1 / 24 shared
Assimi, T. El
1 / 1 shared
Chart of publication period
2019
2017
2016
2014
2012
2010
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2004

Co-Authors (by relevance)

  • Magnin, Vincent
  • Harari, Joseph
  • Mpogui, Elias
  • Yarekha, Dmitri
  • Cachet-Vivier, Christine
  • Torralba, Encarnacion
  • Vilcot, Jean-Pierre
  • Bastide, Stéphane
  • Le Gall, Sylvain
  • Dugué, Pierre-Vincent
  • Hadjloum, Massinissa
  • Li, Hong Wu
  • Gibari, Mohammed El
  • Fouchier, Marin, El
  • Lachaume, Raphaël
  • Assimi, Taha, El
  • Assimi, Taha
  • Gall, Sylvain Le
  • Fouchier, Marin
  • Torralba, Encarnación
  • El Assimi, Taha
  • Magnin, V.
  • Cachet-Vivier, C.
  • El Assimi, T.
  • Torralba, E.
  • Torralba-Penalver, Encarnacion
  • Bastide, S.
  • Lachaume, R.
  • Ko, S. M.
  • Dogheche, El Hadj
  • Cuniot-Ponsard, Mireille
  • Cho, Y. H.
  • Saraswati, Irma
  • Capoen, Bruno
  • Bouazaoui, Mohamed
  • Arabi, N. H.
  • El Hamzaoui, Hicham
  • Iratni, A.
  • Legier, Jean-François
  • Fontanieu, Lénaïck
  • Paleczny, Erick
  • Auguste, Kenny Robert Philippe
  • Mahé, Hind
  • Philippe Auguste, Kenny Robert
  • Odobel, Fabrice
  • Bosc, Dominique
  • Bonnardel, Pierre-Antoine
  • Gayet, Nicolas
  • Yam, V.
  • Bouchier, D.
  • Cammilleri, D.
  • Fossard, F.
  • Renard, Charles
  • Rzepka, E.
  • Zheng, Y.
  • Assimi, T. El
OrganizationsLocationPeople

document

A new method of dielectric characterization using a genetic algorithm and a coplanar waveguide on bilayer films

  • Dugué, Pierre-Vincent
  • Hadjloum, Massinissa
  • Vilcot, Jean-Pierre
  • Li, Hong Wu
  • Gibari, Mohammed El
  • Halbwax, Mathieu
Abstract

Fine characterization of the dielectric properties (r and tanδ) of materials in the microwave, and above, domain is a mandatory step to optimize the performance of components working in this frequency range. When reaching the millimeter frequency range, the conventional parallel plate condenser technique shows its limits by the increasing part of parasitic in the measurement data that makes their de-embedding much more complex. Characterization techniques based on resonant cavity or microring resonator can then be used but they rely on complex fabrication and analytical de-embedding processes. Moreover their validity domain rarely exceeds a few tens of GHz. Using techniques based on propagation lines allows then to overcome this limitation since the material complex permittivity plays a determinant role in their propagation characteristics; those being easily measured using microwave probe stations. Microstrip or (grounded) coplanar waveguide, (G)CPW, lines, for example, can then be designed and measured up to 100 GHz of bandwidth. A novel method to characterize polymer materials has then been built on such a concept [4], it was used with a bandwidth of approximately 40 GHz.We are currently working on a further development of this technique that is now applied to bi-layer dielectric films. Indeed adding a top layer of known material on the unknown material film to be characterized can help to protect the latter from different technological processes that can be aggressive (for example, lithography processes are, for most of polymers, incompatible because of the photoresist solvent). GCPW lines are characterized by their S- parameters in the 450 MHz to 110 GHz bandwidth measured using a vector network analyzer (VNA). Those data are used as reference for a genetic algorithm (GA) which generates r and tanδ. The algorithm offers a good compromise between de-embedding accuracy and time of calculation.This paper will present the details of this determination process. First of all, we will discuss how this solution works and show that the only limitation is the actual bandwidth of the probes used for different VNAs. In a second time, we will show the different advantages of this method, they have been slightly presented earlier but we will advance them more clearly. Finally, we will show the results of characterization on a well-known material, the Benzocyclobutene (BCB), in our case, the GA returns us the couple r and tanδ respectively equal to 2,77 and 7x10−3 which is in good agreement with literature.

Topics
  • impedance spectroscopy
  • polymer
  • lithography