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

Lederer, Albena

  • Google
  • 7
  • 19
  • 51

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Enhancing Fire Retardance of Styrenic Polymers Through a Ter-Polymerization Routecitations
  • 2023Gaseous- and Condensed-Phase Activities of Some Reactive P- and N-Containing Fire Retardants in Polystyrenes4citations
  • 2023Potential of Small‐Angle Neutron Scattering for Evaluating Protein Locus within a Polymersome4citations
  • 2022Thermal Decomposition of Styrenic Polymers Modified with Covalently Bound P- and N-containing Groups: Analysis of the Gaseous-Phase Mechanismcitations
  • 2022Gaseous- and Condensed-Phase Activities of Some Reactive P- and N-Containing Fire Retardants in Polystyrenes4citations
  • 2020An in-depth analysis approach enabling precision single chain nanoparticle design27citations
  • 2013Temperature-dependent size exclusion chromatography for the in situ investigation of dynamic bonding/debonding reactions12citations

Places of action

Chart of shared publication
Joseph, Paul
4 / 16 shared
Tretsiakova-Mcnally, Svetlana
4 / 18 shared
Pospiech, Doris
4 / 14 shared
Schierz, Eileen
4 / 4 shared
Arun, Malavika
4 / 8 shared
Baby, Aloshy
4 / 7 shared
Fontaine, Gaelle
1 / 17 shared
Moreno, Silvia
1 / 3 shared
Schweins, Ralf
2 / 39 shared
Boye, Susanne
1 / 2 shared
Appelhans, Dietmar
1 / 10 shared
Palinske, Max
1 / 1 shared
Muza, Upenyu L.
1 / 1 shared
Fontaine, Gaëlle
1 / 5 shared
Plüschke, Laura
1 / 1 shared
Komber, Hartmut
1 / 10 shared
Brandt, Josef
1 / 1 shared
Guimard, Nathalie
1 / 1 shared
Schmidt, Friedrich
1 / 1 shared
Chart of publication period
2024
2023
2022
2020
2013

Co-Authors (by relevance)

  • Joseph, Paul
  • Tretsiakova-Mcnally, Svetlana
  • Pospiech, Doris
  • Schierz, Eileen
  • Arun, Malavika
  • Baby, Aloshy
  • Fontaine, Gaelle
  • Moreno, Silvia
  • Schweins, Ralf
  • Boye, Susanne
  • Appelhans, Dietmar
  • Palinske, Max
  • Muza, Upenyu L.
  • Fontaine, Gaëlle
  • Plüschke, Laura
  • Komber, Hartmut
  • Brandt, Josef
  • Guimard, Nathalie
  • Schmidt, Friedrich
OrganizationsLocationPeople

article

Potential of Small‐Angle Neutron Scattering for Evaluating Protein Locus within a Polymersome

  • Moreno, Silvia
  • Schweins, Ralf
  • Boye, Susanne
  • Lederer, Albena
  • Appelhans, Dietmar
  • Palinske, Max
  • Muza, Upenyu L.
Abstract

<jats:title>Abstract</jats:title><jats:p>Post‐loading of polymersomes with different bio(macro)molecules has been successfully demonstrated, thus mimicking the diffusion processes through biological membranes. However, it is still an open issue the extent to which this diffusion process leads to transmembrane transportation, or rather encapsulation of cargo within the membrane. In this study, well‐established pH‐responsive and cross‐linked polymeric vesicles are studied. A pH‐controllable and stable membrane, as well as a hollow particle shape and membrane uniformity are confirmed using dynamic light scattering (DLS) and cryogenic‐transmission electron microscopy (Cryo‐TEM). Post‐loading with myoglobin (Mb) as a model enzyme is analyzed using multidetector asymmetrical flow field‐flow fractionation (AF4). Advanced analysis of conformational parameters allowed for the estimation of enzyme localization and the pH‐dependent loading efficiency thereof. Static light scattering coupled to AF4 is employed to successfully deliver information on the global size of the polymersomes (&gt;50 nm). Furthermore, membrane structure and thickness, which are in the few nanometer range, can be successfully analyzed using small‐angle neutron scattering (SANS). Deuterated solvent as well as Mb deuteration for tuning the contrast are considered. Two different vesicle model fits, as well as Kratky–Porod interpretation confirm effective determination of vesicle core and membrane thickness and for evaluation of the membrane changes after post‐loading.</jats:p>

Topics
  • impedance spectroscopy
  • transmission electron microscopy
  • small-angle neutron scattering
  • dynamic light scattering
  • particle shape
  • fractionation
  • static light scattering