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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024The Influence of Phase Formation on Irradiation Tolerance in a Nanocrystalline TiZrNbHfTa Refractory High‐Entropy Alloy12citations
  • 20203D characterisation using plasma FIB-SEM12citations
  • 2018Generation of amorphous carbon and crystallographic texture during low-temperature subseismic slip in calcite fault gouge19citations
  • 2017Critical testing of potential cellular structures within microtubes in 145 Ma volcanic glass from the Argo Abyssal Plain12citations

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Chart of shared publication
Thorogood, Gordon J.
1 / 1 shared
Couzinié, Jean-Philippe
1 / 11 shared
Short, Ken
1 / 1 shared
Hohenwarter, Anton
1 / 20 shared
Xu, Alan
1 / 1 shared
Bhattacharyya, Dhriti
1 / 3 shared
Gludovatz, Bernd
1 / 5 shared
Wei, Tao
1 / 1 shared
Moschetti, Michael
1 / 1 shared
Davis, Joel
1 / 3 shared
Khoo, Kean Thong
1 / 1 shared
Zhang, Yu
1 / 39 shared
Duan, Leiping
1 / 2 shared
Davidsen, Rasmus Schmidt
1 / 3 shared
Scardera, Giuseppe
1 / 3 shared
Hoex, Bram
1 / 6 shared
Abbott, Malcolm
1 / 4 shared
Giwelli, Ausama
1 / 4 shared
Clennell, M. Ben
1 / 1 shared
Verrall, Michael
1 / 1 shared
Timms, Nicholas E.
1 / 2 shared
Piazolo, Sandra
1 / 10 shared
Luzin, Vladimir
1 / 15 shared
Rickard, William D. A.
1 / 7 shared
Piane, Claudio Delle
1 / 1 shared
Bourdet, Julien
1 / 2 shared
Saunders, Martin
2 / 33 shared
Eiloart, Kate
1 / 1 shared
Wacey, David
1 / 4 shared
Fisk, Martin
1 / 23 shared
Chart of publication period
2024
2020
2018
2017

Co-Authors (by relevance)

  • Thorogood, Gordon J.
  • Couzinié, Jean-Philippe
  • Short, Ken
  • Hohenwarter, Anton
  • Xu, Alan
  • Bhattacharyya, Dhriti
  • Gludovatz, Bernd
  • Wei, Tao
  • Moschetti, Michael
  • Davis, Joel
  • Khoo, Kean Thong
  • Zhang, Yu
  • Duan, Leiping
  • Davidsen, Rasmus Schmidt
  • Scardera, Giuseppe
  • Hoex, Bram
  • Abbott, Malcolm
  • Giwelli, Ausama
  • Clennell, M. Ben
  • Verrall, Michael
  • Timms, Nicholas E.
  • Piazolo, Sandra
  • Luzin, Vladimir
  • Rickard, William D. A.
  • Piane, Claudio Delle
  • Bourdet, Julien
  • Saunders, Martin
  • Eiloart, Kate
  • Wacey, David
  • Fisk, Martin
OrganizationsLocationPeople

article

3D characterisation using plasma FIB-SEM

  • Khoo, Kean Thong
  • Zhang, Yu
  • Duan, Leiping
  • Kong, Charlie
  • Davidsen, Rasmus Schmidt
  • Scardera, Giuseppe
  • Hoex, Bram
  • Abbott, Malcolm
Abstract

<p>This paper demonstrates an improved method to accurately extract the surface morphology of black silicon (BSi). The method is based on an automated Xe<sup>+</sup> plasma focused ion beam (PFIB) and scanning electron microscope (SEM) tomography technique. A comprehensive new sample preparation method is described and shown to minimize the PFIB artifacts induced by both the top surface sample-PFIB interaction and the non-uniform material density. An optimized post-image processing procedure is also described that ensures the accuracy of the reconstructed 3D surface model. The application of these new methods is demonstrated by applying them to extract the surface topography of BSi formed by reactive ion etching (RIE) consisting of 2 µm tall needles. An area of 320 µm<sup>2</sup> is investigated with a controlled slice thickness of 10 nm. The reconstructed 3D model allows the extraction of critical roughness characteristics, such as height distribution, correlation length, and surface enhancement ratio. Furthermore, it is demonstrated that the particular surface studied contains regions in which under-etching has resulted in overhanging structures, which would not have been identified with other surface topography techniques. Such overhanging structures can be present in a broad range of BSi surfaces, including BSi surfaces formed by RIE and metal catalyst chemical etching (MCCE). Without proper measurement, the un-detected overhangs would result in the underestimation of many critical surface characteristics, such as absolute surface area, electrochemical reactivity and light-trapping.</p>

Topics
  • density
  • impedance spectroscopy
  • morphology
  • surface
  • scanning electron microscopy
  • extraction
  • tomography
  • focused ion beam
  • Silicon
  • plasma etching