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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Kühbach, Markus

  • Google
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Humboldt-Universität zu Berlin

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Shared metadata for data-centric materials science26citations
  • 2022Community-Driven Methods for Open and Reproducible Software Tools for Analyzing Datasets from Atom Probe Microscopy7citations
  • 2022On Strong-Scaling and Open-Source Tools for High-Throughput Quantification of Material Point Cloud Data: Composition Gradients, Microstructural Object Reconstruction, and Spatial Correlationscitations
  • 2020Quantification of 3D spatial correlations between state variables and distances to the grain boundary network in full-field crystal plasticity spectral method simulations5citations
  • 2018Application of chord length distributions and principal component analysis for quantification and representation of diverse polycrystalline microstructures49citations

Places of action

Chart of shared publication
Schreiber, Daniel K.
1 / 5 shared
Ghamarian, Iman
1 / 2 shared
Ceguerra, Anna
1 / 1 shared
Martin, Francisca Mendez
1 / 12 shared
Wang, Jing
1 / 19 shared
Bilal, Huma
1 / 1 shared
Kalidindi, Surya
1 / 5 shared
Stinville, Jean-Charles
1 / 13 shared
Beyerlein, Irene
1 / 4 shared
Toth, Laszlo
1 / 21 shared
Latypov, Marat
1 / 6 shared
Pollock, Tresa
1 / 7 shared
Chart of publication period
2023
2022
2020
2018

Co-Authors (by relevance)

  • Schreiber, Daniel K.
  • Ghamarian, Iman
  • Ceguerra, Anna
  • Martin, Francisca Mendez
  • Wang, Jing
  • Bilal, Huma
  • Kalidindi, Surya
  • Stinville, Jean-Charles
  • Beyerlein, Irene
  • Toth, Laszlo
  • Latypov, Marat
  • Pollock, Tresa
OrganizationsLocationPeople

article

Community-Driven Methods for Open and Reproducible Software Tools for Analyzing Datasets from Atom Probe Microscopy

  • Schreiber, Daniel K.
  • Ghamarian, Iman
  • Ceguerra, Anna
  • Martin, Francisca Mendez
  • Wang, Jing
  • Kühbach, Markus
  • Bilal, Huma
Abstract

<jats:title>Abstract</jats:title><jats:p>Atom probe tomography, and related methods, probe the composition and the three-dimensional architecture of materials. The software tools which microscopists use, and how these tools are connected into workflows, make a substantial contribution to the accuracy and precision of such material characterization experiments. Typically, we adapt methods from other communities like mathematics, data science, computational geometry, artificial intelligence, or scientific computing. We also realize that improving on research data management is a challenge when it comes to align with the FAIR data stewardship principles. Faced with this global challenge, we are convinced it is useful to join forces. Here, we report the results and challenges with an inter-laboratory call for developing test cases for several types of atom probe microscopy software tools. The results support why defining detailed recipes of software workflows and sharing these recipes is necessary and rewarding: Open source tools and (meta)data exchange can help to make our day-to-day data processing tasks become more efficient, the training of new users and knowledge transfer become easier, and assist us with automated quantification of uncertainties to gain access to substantiated results.</jats:p>

Topics
  • impedance spectroscopy
  • experiment
  • atom probe tomography
  • microscopy
  • informatics