Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

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.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Margetts, Lee

  • Google
  • 10
  • 32
  • 168

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
2020
2018
2017
2009
2008

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

conferencepaper

Multiscale CAFE for fracture in heterogeneous materials under dynamic loading conditions

  • Revell, Alistair
  • Hewitt, Sam
  • Margetts, Lee
  • Shterenlikht, Anton
Abstract

This paper describes a multi-scale fracture framework, for modelling dynamic fracture in polycrystalline materials. The motivation behind developing such an application is to provide a high delity tool to model and capture dynamic structural deformations, at the macro scale, undergoing fracture at the micro-scale. The application links two highly scalable applications ParaFEM and CASUP, that model continuum using the finite element method and fracture using cellular automata respectively. Linking the two is done through a initial coupling step assigning the cellular automata to appropriate finite elements. Each time step the application passes data between the two packages, a stress tensor from ParaFEM to CASUP and a damage variable from CASUP to ParaFEM. If the maximum resolved normal stress on any cleavage plane exceeds fracture stress, crack propagation is induced through the material in the cellular automata, and the damage variable changes appropriately, updating the macro properties of the structure, modelled using finite elements. An example test case is shown, considering the degradation of a structure using material with differing critical stresses. The case showed materials undergoing permanent damage without failure and complete failure. Finally the parallel scalability of the application was explored and found to scale to 1000's of cores. Improved fidelity from coupling multiple scales in simulations has a wide range of applications in energy, aerospace and naval industries.

Topics
  • impedance spectroscopy
  • simulation
  • crack
  • cellular automata