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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Kim, Kyung Ho

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Mesoscopic 3D Charge Transport in Solution-Processed Graphene-Based Thin Films: A Multiscale Analysis5citations
  • 2021Clustering and Morphology Evolution of Gold on Nanostructured Surfaces of Silicon Carbide12citations
  • 2021Clustering and Morphology Evolution of Gold on Nanostructured Surfaces of Silicon Carbide : Implications for Catalysis and Sensing12citations
  • 2020Chemical sensing with atomically thin platinum templated by a 2D insulator7citations
  • 2018Uniform doping of graphene close to the charge neutrality point by polymer-assisted spontaneous assembly of molecular dopants68citations

Places of action

Chart of shared publication
De Simone, Sara
1 / 3 shared
Liscio, Andrea
1 / 20 shared
Affronte, Marco
1 / 7 shared
Avila, Samuel Lara
1 / 1 shared
Candini, Andrea
1 / 5 shared
Pagano, Sergio
1 / 4 shared
Gobbi, Marco
1 / 11 shared
Palermo, Vincenzo
1 / 27 shared
Xia, Zhenyuan
1 / 12 shared
Mussi, Valentina
1 / 4 shared
Samorì, Paolo
1 / 35 shared
Barone, Carlo
1 / 3 shared
Kovtun, Alessandro
1 / 8 shared
Liscio, Fabiola
1 / 10 shared
Boschi, Alex
1 / 2 shared
Iakimov, Tihomir
3 / 7 shared
Yakimova, Rositsa
3 / 39 shared
Shtepliuk, Ivan
2 / 10 shared
Sedrine, Nabiha Ben
1 / 3 shared
Sarakinos, Kostas
2 / 37 shared
Lara-Avila, Samuel
4 / 7 shared
Pliatsikas, Nikolaos
2 / 7 shared
Ivanov, Ivan G.
1 / 7 shared
Kubatkin, Sergey E.
2 / 2 shared
Ivanov, Ivan Gueorguiev
1 / 14 shared
Ben Sedrine, Nabiha
1 / 3 shared
Yakimova, Rositza
1 / 8 shared
Kubatkin, Sergey
2 / 5 shared
Zakharov, Alexei
1 / 19 shared
Piantek, Marten
1 / 3 shared
Rodner, Marius
1 / 2 shared
Larsson, Karin
1 / 2 shared
He, Hans
2 / 4 shared
Eriksson, Jens
1 / 8 shared
Serrate, David
1 / 6 shared
Bauch, Thilo
1 / 8 shared
Malmberg, Per
1 / 6 shared
Moth-Poulsen, Kasper
1 / 8 shared
Park, Yung Woo
1 / 1 shared
Montemurro, Domenico
1 / 1 shared
Lombardi, Floriana
1 / 9 shared
Müller, Christian
1 / 43 shared
Danilov, Andrey
1 / 2 shared
Chart of publication period
2023
2021
2020
2018

Co-Authors (by relevance)

  • De Simone, Sara
  • Liscio, Andrea
  • Affronte, Marco
  • Avila, Samuel Lara
  • Candini, Andrea
  • Pagano, Sergio
  • Gobbi, Marco
  • Palermo, Vincenzo
  • Xia, Zhenyuan
  • Mussi, Valentina
  • Samorì, Paolo
  • Barone, Carlo
  • Kovtun, Alessandro
  • Liscio, Fabiola
  • Boschi, Alex
  • Iakimov, Tihomir
  • Yakimova, Rositsa
  • Shtepliuk, Ivan
  • Sedrine, Nabiha Ben
  • Sarakinos, Kostas
  • Lara-Avila, Samuel
  • Pliatsikas, Nikolaos
  • Ivanov, Ivan G.
  • Kubatkin, Sergey E.
  • Ivanov, Ivan Gueorguiev
  • Ben Sedrine, Nabiha
  • Yakimova, Rositza
  • Kubatkin, Sergey
  • Zakharov, Alexei
  • Piantek, Marten
  • Rodner, Marius
  • Larsson, Karin
  • He, Hans
  • Eriksson, Jens
  • Serrate, David
  • Bauch, Thilo
  • Malmberg, Per
  • Moth-Poulsen, Kasper
  • Park, Yung Woo
  • Montemurro, Domenico
  • Lombardi, Floriana
  • Müller, Christian
  • Danilov, Andrey
OrganizationsLocationPeople

article

Clustering and Morphology Evolution of Gold on Nanostructured Surfaces of Silicon Carbide

  • Iakimov, Tihomir
  • Yakimova, Rositsa
  • Kim, Kyung Ho
  • Shtepliuk, Ivan
  • Sedrine, Nabiha Ben
  • Sarakinos, Kostas
  • Lara-Avila, Samuel
  • Pliatsikas, Nikolaos
  • Ivanov, Ivan G.
  • Kubatkin, Sergey E.
Abstract

<p>A fundamental understanding of the behavior of gold (Au) nanostructures deposited on functional surfaces is imperative to discover and leverage interface-related phenomena that can boost the efficiency of existing electronic devices in sensorics, catalysis, and spintronics. In the present work, Au layers with nominal thickness of 2 nm were sputter-deposited on graphenized SiC substrates represented by buffer layer (BuL)/4H-SiC and monolayer epitaxial graphene (MLG)/4H-SiC. Morphometric analysis by means of scanning electron microscopy shows that Au on BuL self-assembles in nearly round-shaped plasmonically active islands, while on MLG, a fractal growth of considerably larger and ramified islands is observed. To correlate the experimentally established differences in surface morphology on the two types of graphenized substrates with energetics and kinetics of Au nanostructure growth, the deposit-substrate interaction strength was studied using density functional theory (DFT) calculations, molecular dynamics simulations, and optical measurements. The theoretical considerations involve participation of Au clusters with different sizes and energetics at the initial stages of the metal nanostructure formation. The results indicate that gold exhibits a considerably stronger interaction with BuL than with MLG, which can be considered as a key aspect for explaining the experimentally observed morphological differences. From the statistical analysis of Raman spectra, indications of Au intercalation of MLG are discussed. The current research shows that, due to its unique surface chemistry, buffer layer has peculiar affinity to gold when compared to other atomically flat surfaces, which is beneficial for boosting high-performance catalytic and sensing technologies based on low-dimensional materials. </p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • cluster
  • scanning electron microscopy
  • theory
  • simulation
  • molecular dynamics
  • gold
  • strength
  • carbide
  • Silicon
  • density functional theory
  • clustering