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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Tossi, Camilla

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University of Bremen

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2023Atomic layer deposition of Zr-sandwiched ZnO thin films for transparent thermoelectrics9citations
  • 2023Advanced deposition tools for the development of oxide thin filmscitations
  • 2021Computational Study Revealing the Influence of Surface Phenomena in p-GaAs Water-Splitting Cells6citations
  • 2020Enhanced Thermoelectric Transport and Stability in Atomic Layer Deposited HfO2/ZnO and TiO2/ZnO Sandwiched Multilayer Thin Films20citations
  • 2020Enhanced Thermoelectric Transport and Stability in Atomic Layer Deposited HfO2/ZnO and TiO2/ZnO Sandwiched Multilayer Thin Films20citations
  • 2018Crystal Structures of Two Important Pharmaceuticals Solved by 3D Precession Electron Diffraction Tomography45citations

Places of action

Chart of shared publication
Tittonen, Ilkka
5 / 11 shared
Raju, Ramesh
2 / 3 shared
Volin, Ulrika
1 / 1 shared
Koskinen, Tomi
1 / 4 shared
Singh, Dr Aadesh Pratap
1 / 1 shared
Laouadi, Ornella
1 / 1 shared
Hällström, Lassi
1 / 2 shared
Juntunen, Taneli
2 / 8 shared
Ishikawa, Yasuaki
2 / 4 shared
Etula, Jarkko
2 / 20 shared
Felizco, Jenichi Clairvaux
1 / 1 shared
Uenuma, Mutsunori
2 / 3 shared
Uraoka, Yukiharu
2 / 7 shared
Clairvaux Felizco, Jenichi
1 / 1 shared
Galanis, Athanasios
1 / 1 shared
Pop, Mihaela
1 / 2 shared
Mugnaioli, Enrico
1 / 23 shared
Borodi, Georghe
1 / 1 shared
Das, Partha P.
1 / 4 shared
Nicolopoulos, Stavros
1 / 5 shared
Gemmi, Mauro
1 / 29 shared
Chart of publication period
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Co-Authors (by relevance)

  • Tittonen, Ilkka
  • Raju, Ramesh
  • Volin, Ulrika
  • Koskinen, Tomi
  • Singh, Dr Aadesh Pratap
  • Laouadi, Ornella
  • Hällström, Lassi
  • Juntunen, Taneli
  • Ishikawa, Yasuaki
  • Etula, Jarkko
  • Felizco, Jenichi Clairvaux
  • Uenuma, Mutsunori
  • Uraoka, Yukiharu
  • Clairvaux Felizco, Jenichi
  • Galanis, Athanasios
  • Pop, Mihaela
  • Mugnaioli, Enrico
  • Borodi, Georghe
  • Das, Partha P.
  • Nicolopoulos, Stavros
  • Gemmi, Mauro
OrganizationsLocationPeople

article

Computational Study Revealing the Influence of Surface Phenomena in p-GaAs Water-Splitting Cells

  • Tossi, Camilla
  • Tittonen, Ilkka
  • Hällström, Lassi
Abstract

A computational model of a photoelectrochemical cell describing the influence of competing surface reactions to the operation of the cell is presented. The model combines an optical simulation for the incident light intensity with fully self-consistent solution of drift-diffusion equations to accurately calculate the electronic state of the semiconductor electrode in a photoelectrochemical cell under operation. The solution is calculated for the full thickness of a typical wafer, while simultaneously solving the thin surface charge region with sufficient precision. In addition to comparing the simulated current–voltage response with experimental data, the simulation is shown to replicate experimental results from electrochemical impedance spectroscopy (EIS) measurements. The results show that considering optical losses in the system is crucial for accurate simulation. The model is capable of selectively characterizing the impact of material parameters on both current–voltage response and interface capacitance, while revealing the internal dynamics of the quasi-Fermi levels that are inaccessible by experimental methods. ; Peer reviewed

Topics
  • surface
  • simulation
  • semiconductor
  • electrochemical-induced impedance spectroscopy