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
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Actionable workflows for fusion neutronics simulation.citations
  • 2021Non-local modelling of heat conduction with phase changecitations
  • 20204D characterisation of damage and fracture mechanisms of ultra high performance fibre reinforced concrete by in-situ micro X-Ray computed tomography tests55citations
  • 20184D Imaging of Soft Tissue and Implanted Biomaterial Mechanics; A Barbed-Suture Case Study for Tendon Repair6citations
  • 2018Modelling fracture in heterogeneous materials on HPC systems using a hybrid MPI/Fortran coarray multi-scale CAFE framework11citations
  • 2018Multiscale CAFE for fracture in heterogeneous materials under dynamic loading conditionscitations
  • 2017Multi-scale CAFE framework for simulating fracture in heterogeneous materials implemented in fortran co-arrays and MPI3citations
  • 2017Micro X-ray Computed Tomography Image-based Two-scale Homogenisation of Ultra High Performance Fibre Reinforced Concrete93citations
  • 2009A finite element approach to the biomechanics of dromaeosaurid dinosaur clawscitations
  • 2008Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environmentcitations

Places of action

Chart of shared publication
Woolland, Oliver
1 / 2 shared
Lowe, Douglas
1 / 1 shared
Miao, Zeyuan
1 / 1 shared
Barker, Adam
1 / 1 shared
Smith, William
1 / 1 shared
Sedighi, Majid
1 / 5 shared
Nikolaev, Petr
1 / 1 shared
Jivkov, Ap
1 / 60 shared
Peng, Y. Z.
1 / 1 shared
Yang, Z. J.
1 / 1 shared
Sharma, R.
2 / 23 shared
Qsymah, A.
1 / 1 shared
Lowe, Tristan
1 / 9 shared
Obrien, Marie
1 / 2 shared
Rawson, Shelley Dyan
1 / 1 shared
Shearer, Tom
1 / 6 shared
Cartmell, Sarah
1 / 8 shared
Wong, Jason
1 / 2 shared
Cebamanos, Luis
2 / 2 shared
Shterenlikht, Anton
3 / 23 shared
Revell, Alistair
1 / 1 shared
Hewitt, Sam
1 / 1 shared
Arregui-Mena, Jose D.
1 / 1 shared
Qsymah, Ansam
1 / 2 shared
Mummery, Pm
3 / 20 shared
Yang, Z.
1 / 27 shared
Manning, P. L.
1 / 1 shared
Johnson, M.
1 / 7 shared
Mustansar, Z.
1 / 1 shared
Sheikh, M.
1 / 1 shared
Calvo, F.
1 / 2 shared
Farooqi, J.
1 / 1 shared
Chart of publication period
2024
2021
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Co-Authors (by relevance)

  • Woolland, Oliver
  • Lowe, Douglas
  • Miao, Zeyuan
  • Barker, Adam
  • Smith, William
  • Sedighi, Majid
  • Nikolaev, Petr
  • Jivkov, Ap
  • Peng, Y. Z.
  • Yang, Z. J.
  • Sharma, R.
  • Qsymah, A.
  • Lowe, Tristan
  • Obrien, Marie
  • Rawson, Shelley Dyan
  • Shearer, Tom
  • Cartmell, Sarah
  • Wong, Jason
  • Cebamanos, Luis
  • Shterenlikht, Anton
  • Revell, Alistair
  • Hewitt, Sam
  • Arregui-Mena, Jose D.
  • Qsymah, Ansam
  • Mummery, Pm
  • Yang, Z.
  • Manning, P. L.
  • Johnson, M.
  • Mustansar, Z.
  • Sheikh, M.
  • Calvo, F.
  • Farooqi, J.
OrganizationsLocationPeople

document

Actionable workflows for fusion neutronics simulation.

  • Woolland, Oliver
  • Lowe, Douglas
  • Miao, Zeyuan
  • Margetts, Lee
  • Barker, Adam
  • Smith, William
Abstract

Neutronics simulations are complex and typically require significant effort in setting up multiple pre- and post-processing steps, such as preparing data and geometry before the neutronics simulation can be carried out. From the end user point of view, many complex tools must be mastered in order to run the simulations, creating a barrier of entry to a field that needs to transition from science to engineering. Different versions of the tools used and customisation of processing steps can also lead to reproducibility issues, and the data produced could often be better managed.<br/>We propose setting up standard packages (i.e. OpenMC and Paramak) as interoperable tools that can be linked up to create an automated simulation process, to be executed using a workflow engine (i.e. Galaxy). The integrated tools can then be (re)configured into scalable, actionable workflows that are FAIR; findable, accessible, interoperable and reusable. The chosen workflow engine provides a simple and accessible interface with many added benefits, such as capturing metadata, documenting what simulation has been executed, when, by whom, how and why.The selected workflow engine also enables automatic scheduling on distributed and high performance computing systems.<br/>The presentation will use a spherical tokamak case study to show how this approach can be used to orchestrate neutronics simulations. The authors will first show how individual tools can be put together as automated workflows. By presenting the results of a neutronics simulation carried out in this way, the authors will then highlight the simplicity and added benefits of workflows.<br/>The work is aimed at the neutronics community but especially newcomers or those outside the community (such as SMEs or young researchers) who wish to run basic simulations but are unfamiliar with the tools used in the sector.

Topics
  • impedance spectroscopy
  • simulation