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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1.080 Topics available

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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.

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Naji, M.
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Liebi, Marianne

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (13/13 displayed)

  • 2024Unveiling breast cancer metastasis through an advanced X-ray imaging approach7citations
  • 2024Phase-separated polymer blends for controlled drug delivery by tuning morphology3citations
  • 2024Iron-carbohydrate complexes treating iron anaemia: Understanding the nano-structure and interactions with proteins through orthogonal characterisation6citations
  • 2023SAXS imaging reveals optimized osseointegration properties of bioengineered oriented 3D-PLGA/aCaP scaffolds in a critical size bone defect model.20citations
  • 2023Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures13citations
  • 2022Photoresponsive movement in 3D printed cellulose nanocomposites20citations
  • 2022Amphiphilic polymer co-network: a versatile matrix for tailoring the photonic energy transfer in wearable energy harvesting devices17citations
  • 2020Validation study of small-angle X-ray scattering tensor tomography21citations
  • 2019High-speed tensor tomography: iterative reconstruction tensor tomography (IRTT) algorithm29citations
  • 2018Small-angle X-ray scattering tensor tomography : Model of the three-dimensional reciprocal-space map, reconstruction algorithm and angular sampling requirements65citations
  • 2018Bioinspired Structural Hierarchy within Macroscopic Volumes of Synthetic Composites10citations
  • 2015Six-dimensional real and reciprocal space small-angle X-ray scattering tomography172citations
  • 2015Nanostructure surveys of macroscopic specimens by small-angle scattering tensor tomography216citations

Places of action

Chart of shared publication
Conceição, Andre L. C.
1 / 2 shared
Burandt, Eike-Christian
1 / 1 shared
Mohme, Malte
1 / 1 shared
Haas, Sylvio
1 / 6 shared
Nielsen, Leonard C.
3 / 3 shared
Müller, Volkmar
1 / 1 shared
Matic, Aleksandar
1 / 10 shared
Larsson, Anette
1 / 6 shared
Chen, Yang
1 / 12 shared
Watts, Benjamin
1 / 8 shared
Storm, Robin
1 / 1 shared
Olsson, Martina
1 / 1 shared
Krupnik, Leonard
2 / 4 shared
Lilja, Viktor
1 / 1 shared
Holler, Mirko
2 / 17 shared
Naidjonoka, Polina
1 / 1 shared
Björn, Linnea
1 / 2 shared
Diaz, Ana
1 / 20 shared
Silva, Bruno F. B.
1 / 2 shared
Anaraki, Neda Iranpour
1 / 1 shared
Handschin, Stephan
1 / 4 shared
Kohlbrecher, Joachim
3 / 12 shared
Avaro, Jonathan
3 / 5 shared
Flühmann, Beat
1 / 1 shared
Digigow, Reinaldo
1 / 1 shared
Alston, Amy E. Barton
1 / 1 shared
Sologubenko, Alla
1 / 2 shared
Blanchet, Clement E.
1 / 1 shared
Rzepiela, Andrzej J.
1 / 1 shared
Neels, Antonia
2 / 39 shared
Philipp, Erik
1 / 1 shared
Totu, Tiberiu
1 / 1 shared
Wick, Peter
1 / 4 shared
Appel, Christian
2 / 3 shared
Generali, Melanie
1 / 1 shared
Guizar-Sicairos, Manuel
7 / 18 shared
Groninger, Olivier
1 / 1 shared
Tiziani, Simon
1 / 1 shared
Neldner, Yvonne
1 / 1 shared
Weber, Franz E.
1 / 3 shared
Rodriguez-Palomo, Adrian
1 / 1 shared
Casanova, Elisa A.
1 / 1 shared
Arnke, Kevin
1 / 1 shared
Pape, Hans-Christoph
1 / 2 shared
Stahli, Lisa
1 / 1 shared
Gao, Zirui
2 / 2 shared
Cinelli, Paolo
1 / 1 shared
Dominguez, Ana Perez
1 / 1 shared
Stark, Wendelin
1 / 1 shared
Erhart, Paul
1 / 6 shared
Siqueira, Gilberto
1 / 30 shared
Vaucher, Joanne
1 / 2 shared
Demongeot, Adrien
1 / 8 shared
Burgert, Ingo
1 / 38 shared
Zimmermann, Tanja
1 / 25 shared
Müller, Luca A. E.
1 / 3 shared
Nyström, Gustav
1 / 24 shared
Leterrier, Yves
1 / 25 shared
Yakunin, Sergii
1 / 35 shared
Kang, Xinyue
1 / 1 shared
Bodnarchuk, Maryna I.
1 / 64 shared
Boesel, Luciano Fernandes
1 / 4 shared
Huang, Chieh-Szu
1 / 1 shared
Rossi, Reném.
1 / 2 shared
Sun, Xuemei
1 / 1 shared
Kovalenko, Maksym V.
1 / 195 shared
Schroter, Aileen
1 / 1 shared
Lutz-Bueno, Viviane
2 / 2 shared
Rudin, Markus
1 / 1 shared
Menzel, Andreas
2 / 52 shared
Georgiadis, Marios
1 / 2 shared
Usov, Ivan
1 / 1 shared
Bunk, Oliver
2 / 10 shared
Schneider, Philipp
2 / 8 shared
Raabe, Jörg
1 / 9 shared
Rajasekharan, Anand K.
1 / 1 shared
Andersson, Martin
1 / 13 shared
Lotsari, Antiope
1 / 1 shared
Zaslansky, Paul
1 / 25 shared
Schaff, Florian
1 / 3 shared
Pfeiffer, Franz
1 / 5 shared
Bech, Martin
1 / 7 shared
Jud, Christoph
1 / 1 shared
Chart of publication period
2024
2023
2022
2020
2019
2018
2015

Co-Authors (by relevance)

  • Conceição, Andre L. C.
  • Burandt, Eike-Christian
  • Mohme, Malte
  • Haas, Sylvio
  • Nielsen, Leonard C.
  • Müller, Volkmar
  • Matic, Aleksandar
  • Larsson, Anette
  • Chen, Yang
  • Watts, Benjamin
  • Storm, Robin
  • Olsson, Martina
  • Krupnik, Leonard
  • Lilja, Viktor
  • Holler, Mirko
  • Naidjonoka, Polina
  • Björn, Linnea
  • Diaz, Ana
  • Silva, Bruno F. B.
  • Anaraki, Neda Iranpour
  • Handschin, Stephan
  • Kohlbrecher, Joachim
  • Avaro, Jonathan
  • Flühmann, Beat
  • Digigow, Reinaldo
  • Alston, Amy E. Barton
  • Sologubenko, Alla
  • Blanchet, Clement E.
  • Rzepiela, Andrzej J.
  • Neels, Antonia
  • Philipp, Erik
  • Totu, Tiberiu
  • Wick, Peter
  • Appel, Christian
  • Generali, Melanie
  • Guizar-Sicairos, Manuel
  • Groninger, Olivier
  • Tiziani, Simon
  • Neldner, Yvonne
  • Weber, Franz E.
  • Rodriguez-Palomo, Adrian
  • Casanova, Elisa A.
  • Arnke, Kevin
  • Pape, Hans-Christoph
  • Stahli, Lisa
  • Gao, Zirui
  • Cinelli, Paolo
  • Dominguez, Ana Perez
  • Stark, Wendelin
  • Erhart, Paul
  • Siqueira, Gilberto
  • Vaucher, Joanne
  • Demongeot, Adrien
  • Burgert, Ingo
  • Zimmermann, Tanja
  • Müller, Luca A. E.
  • Nyström, Gustav
  • Leterrier, Yves
  • Yakunin, Sergii
  • Kang, Xinyue
  • Bodnarchuk, Maryna I.
  • Boesel, Luciano Fernandes
  • Huang, Chieh-Szu
  • Rossi, Reném.
  • Sun, Xuemei
  • Kovalenko, Maksym V.
  • Schroter, Aileen
  • Lutz-Bueno, Viviane
  • Rudin, Markus
  • Menzel, Andreas
  • Georgiadis, Marios
  • Usov, Ivan
  • Bunk, Oliver
  • Schneider, Philipp
  • Raabe, Jörg
  • Rajasekharan, Anand K.
  • Andersson, Martin
  • Lotsari, Antiope
  • Zaslansky, Paul
  • Schaff, Florian
  • Pfeiffer, Franz
  • Bech, Martin
  • Jud, Christoph
OrganizationsLocationPeople

article

Nanostructure surveys of macroscopic specimens by small-angle scattering tensor tomography

  • Menzel, Andreas
  • Guizar-Sicairos, Manuel
  • Kohlbrecher, Joachim
  • Bunk, Oliver
  • Liebi, Marianne
  • Schneider, Philipp
Abstract

The mechanical properties of many materials are based on the macroscopic arrangement and orientation of their nanostructure. This nanostructure can be ordered over a range of length scales. In biology, the principle of hierarchical ordering is often used to maximize functionality, such as strength and robustness of the material, while minimizing weight and energy cost. Methods for nanoscale imaging provide direct visual access to the ultrastructure (nanoscale structure that is too small to be imaged using light microscopy), but the field of view is limited and does not easily allow a full correlative study of changes in the ultrastructure over a macroscopic sample. Other methods of probing ultrastructure ordering, such as small-angle scattering of X-rays or neutrons, can be applied to macroscopic samples; however, these scattering methods remain constrained to two-dimensional specimens or to isotropically oriented ultrastructures. These constraints limit the use of these methods for studying nanostructures with more complex orientation patterns, which are abundant in nature and materials science. Here, we introduce an imaging method that combines small-angle scattering with tensor tomography to probe nanoscale structures in three-dimensional macroscopic samples in a non-destructive way. We demonstrate the method by measuring the main orientation and the degree of orientation of nanoscale mineralized collagen fibrils in a human trabecula bone sample with a spatial resolution of 25 micrometres. Symmetries within the sample, such as the cylindrical symmetry commonly observed for mineralized collagen fibrils in bone, allow for tractable sampling requirements and numerical efficiency. Small-angle scattering tensor tomography is applicable to both biological and materials science specimens, and may be useful for understanding and characterizing smart or bio-inspired materials. Moreover, because the method is non-destructive, it is appropriate for in situ measurements and allows, for example, the role of ultrastructure in the mechanical response of a biological tissue or manufactured material to be studied.

Topics
  • impedance spectroscopy
  • tomography
  • strength
  • two-dimensional
  • microscopy
  • scattering method