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

De Backer, Annick

  • Google
  • 5
  • 36
  • 29

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Investigation of the octahedral network structure in formamidinium lead bromide nanocrystals by low-dose scanning transmission electron microscopy5citations
  • 2023Fast generation of calculated ADF-EDX scattering cross-sections under channelling conditions3citations
  • 2022Element specific atom counting at the atomic scale by combining high angle annular dark field scanning transmission electron microscopy and energy dispersive X-ray spectroscopy13citations
  • 2021Interface Pattern Engineering in Core-Shell Upconverting Nanocrystals: Shedding Light on Critical Parameters and Consequences for the Photoluminescence Propertiescitations
  • 2012Exit wave reconstruction from focal series of HRTEM images, single crystal XRD and total energy studies on Sb xWO 3+y (x ~ 0.11)8citations

Places of action

Chart of shared publication
Van Aert, Sandra
5 / 18 shared
Friedrich, Thomas
1 / 4 shared
Roeffaers, Maarten B. J.
1 / 19 shared
Verbeeck, Johan
1 / 29 shared
Braeckevelt, Tom
1 / 5 shared
Van Speybroeck, Veronique
1 / 36 shared
Manna, Liberato
1 / 61 shared
Livakas, Nikolaos
1 / 2 shared
Hofkens, Johan
1 / 44 shared
Yu, Chu-Ping
1 / 2 shared
Bals, Sara
3 / 93 shared
Schrenker, Nadine J.
1 / 7 shared
Zhang, Zezhong
2 / 4 shared
Nellist, Peter
1 / 3 shared
Hoyos, Ivan Pedro Lobato
1 / 1 shared
Van Den Bos, Karel Hendrik Wouter
1 / 3 shared
Sanchez-Iglesias, Ana
1 / 2 shared
Liz-Marzan, Luis M.
1 / 5 shared
Nellist, Peter D.
1 / 2 shared
Bladt, Eva
1 / 17 shared
Richards, Bryce S.
1 / 23 shared
Howard, Ian A.
1 / 21 shared
Zhang, Yang
1 / 38 shared
Pedrazo-Tardajos, Adrian
1 / 2 shared
Popescu, Radian
1 / 9 shared
Busko, Dmitry
1 / 6 shared
Altantzis, Thomas
1 / 16 shared
Gerthsen, Dagmar
1 / 33 shared
Hudry, Damien
1 / 2 shared
Kirkland, Angus
1 / 3 shared
Sundberg, Margareta
1 / 2 shared
Terasaki, Osamu
1 / 12 shared
Grüner, Daniel
1 / 8 shared
Haigh, Sarah
1 / 17 shared
Klingstedt, Miia
1 / 3 shared
Eriksson, Lars
1 / 4 shared
Chart of publication period
2024
2023
2022
2021
2012

Co-Authors (by relevance)

  • Van Aert, Sandra
  • Friedrich, Thomas
  • Roeffaers, Maarten B. J.
  • Verbeeck, Johan
  • Braeckevelt, Tom
  • Van Speybroeck, Veronique
  • Manna, Liberato
  • Livakas, Nikolaos
  • Hofkens, Johan
  • Yu, Chu-Ping
  • Bals, Sara
  • Schrenker, Nadine J.
  • Zhang, Zezhong
  • Nellist, Peter
  • Hoyos, Ivan Pedro Lobato
  • Van Den Bos, Karel Hendrik Wouter
  • Sanchez-Iglesias, Ana
  • Liz-Marzan, Luis M.
  • Nellist, Peter D.
  • Bladt, Eva
  • Richards, Bryce S.
  • Howard, Ian A.
  • Zhang, Yang
  • Pedrazo-Tardajos, Adrian
  • Popescu, Radian
  • Busko, Dmitry
  • Altantzis, Thomas
  • Gerthsen, Dagmar
  • Hudry, Damien
  • Kirkland, Angus
  • Sundberg, Margareta
  • Terasaki, Osamu
  • Grüner, Daniel
  • Haigh, Sarah
  • Klingstedt, Miia
  • Eriksson, Lars
OrganizationsLocationPeople

article

Fast generation of calculated ADF-EDX scattering cross-sections under channelling conditions

  • Zhang, Zezhong
  • Nellist, Peter
  • De Backer, Annick
  • Van Aert, Sandra
  • Hoyos, Ivan Pedro Lobato
Abstract

Advanced materials often consist of multiple elements which are arranged in a complicated structure. Quantitative scanning transmission electron microscopy is useful to determine the composition and thickness of nanostructures at the atomic scale. However, significant difficulties remain to quantify mixed columns by comparing the resulting atomic resolution images and spectroscopy data with multislice simulations where dynamic scattering needs to be taken into account. The combination of the computationally intensive nature of these simulations and the enormous amount of possible mixed column configurations for a given composition indeed severely hamper the quantification process. To overcome these challenges, we here report the development of an incoherent non-linear method for the fast prediction of ADF-EDX scattering cross-sections of mixed columns under channelling conditions. We first explain the origin of the ADF and EDX incoherence from scattering physics suggesting a linear dependence between those two signals in the case of a high-angle ADF detector. Taking EDX as a perfect incoherent reference mode, we quantitatively examine the ADF longitudinal incoherence under different microscope conditions using multislice simulations. Based on incoherent imaging, the atomic lensing model previously developed for ADF is now expanded to EDX, which yields ADF-EDX scattering cross-section predictions in good agreement with multislice simulations for mixed columns in a core–shell nanoparticle and a high entropy alloy. The fast and accurate prediction of ADF-EDX scattering cross-sections opens up new opportunities to explore the wide range of ordering possibilities of heterogeneous materials with multiple elements.

Topics
  • nanoparticle
  • impedance spectroscopy
  • simulation
  • transmission electron microscopy
  • Energy-dispersive X-ray spectroscopy