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

Fratila-Apachitei, Lidy

  • Google
  • 11
  • 41
  • 391

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2024On-Demand Magnetically-Activated Drug Delivery from Additively Manufactured Porous Bone Implants to Tackle Antibiotic-Resistant Infections2citations
  • 20244D printed shape-shifting biomaterials for tissue engineering and regenerative medicine applications35citations
  • 2024Bone cell response to additively manufactured 3D micro-architectures with controlled Poisson's ratio13citations
  • 2023Extrusion-based 3D printing of biodegradable, osteogenic, paramagnetic, and porous FeMn-akermanite bone substitutes25citations
  • 2022Extrusion-based additive manufacturing of Mg-Zn alloy scaffolds29citations
  • 2022Additive manufacturing of bioactive and biodegradable porous iron-akermanite composites for bone regeneration39citations
  • 2022Poly(2-ethyl-2-oxazoline) coating of additively manufactured biodegradable porous iron14citations
  • 2021Extrusion-based 3D printing of ex situ-alloyed highly biodegradable MRI-friendly porous iron-manganese scaffolds35citations
  • 2021Extrusion-based 3D printed biodegradable porous iron79citations
  • 2021Mechanical characterization of nanopillars by atomic force microscopy10citations
  • 2020Mechanics of bioinspired functionally graded soft-hard composites made by multi-material 3D printing110citations

Places of action

Chart of shared publication
Zadpoor, Amir, A.
10 / 38 shared
Apachitei, Iulian
1 / 2 shared
Šalandová, Monika
1 / 1 shared
Klimopoulou, Maria
4 / 4 shared
Leeflang, Marius Alexander
1 / 1 shared
Kalogeropoulou, Maria
1 / 2 shared
Zadpoor, Amir Abbas
1 / 1 shared
Mirzaali, Mohammad J.
1 / 16 shared
Díaz-Payno, Pedro J.
2 / 4 shared
Osch, Gerjo J. V. M. Van
1 / 1 shared
Yarali, Ebrahim
1 / 7 shared
Boukany, Pouyan
1 / 1 shared
David, Kristen
1 / 1 shared
Staufer, Urs
1 / 5 shared
Mirzaali, Mohammad, J.
3 / 24 shared
Accardo, Angelo
1 / 9 shared
Mol, Arjan
6 / 64 shared
Dong, J.
2 / 12 shared
Putra, Niko Eka
5 / 8 shared
Leeflang, M. A.
5 / 25 shared
Chang, J.
1 / 15 shared
Zhou, Jie
6 / 31 shared
Taheri, Peyman
6 / 16 shared
Huan, Z.
1 / 6 shared
Tumer, Nazli
1 / 3 shared
Borg, K. G. N.
1 / 2 shared
Tigrine, A.
1 / 1 shared
Aksakal, S.
1 / 1 shared
Rosa, V. R. De La
1 / 1 shared
Minneboo, M.
1 / 3 shared
Hagen, Cornelis Wouter
1 / 7 shared
Nouri-Goushki, Mahdiyeh
2 / 3 shared
Ghatkesar, Murali Krishna
2 / 3 shared
Angeloni, Livia
2 / 4 shared
Ganjian, Mahya
1 / 2 shared
Gunashekar, D.
1 / 3 shared
Veeger, R. P. E.
1 / 3 shared
Grossman, Q.
1 / 3 shared
Doubrovski, Eugeni
1 / 7 shared
Ruffoni, D.
1 / 12 shared
Nava, A. Herranz De La
1 / 1 shared
Chart of publication period
2024
2023
2022
2021
2020

Co-Authors (by relevance)

  • Zadpoor, Amir, A.
  • Apachitei, Iulian
  • Šalandová, Monika
  • Klimopoulou, Maria
  • Leeflang, Marius Alexander
  • Kalogeropoulou, Maria
  • Zadpoor, Amir Abbas
  • Mirzaali, Mohammad J.
  • Díaz-Payno, Pedro J.
  • Osch, Gerjo J. V. M. Van
  • Yarali, Ebrahim
  • Boukany, Pouyan
  • David, Kristen
  • Staufer, Urs
  • Mirzaali, Mohammad, J.
  • Accardo, Angelo
  • Mol, Arjan
  • Dong, J.
  • Putra, Niko Eka
  • Leeflang, M. A.
  • Chang, J.
  • Zhou, Jie
  • Taheri, Peyman
  • Huan, Z.
  • Tumer, Nazli
  • Borg, K. G. N.
  • Tigrine, A.
  • Aksakal, S.
  • Rosa, V. R. De La
  • Minneboo, M.
  • Hagen, Cornelis Wouter
  • Nouri-Goushki, Mahdiyeh
  • Ghatkesar, Murali Krishna
  • Angeloni, Livia
  • Ganjian, Mahya
  • Gunashekar, D.
  • Veeger, R. P. E.
  • Grossman, Q.
  • Doubrovski, Eugeni
  • Ruffoni, D.
  • Nava, A. Herranz De La
OrganizationsLocationPeople

article

Mechanics of bioinspired functionally graded soft-hard composites made by multi-material 3D printing

  • Gunashekar, D.
  • Nouri-Goushki, Mahdiyeh
  • Zadpoor, Amir, A.
  • Ghatkesar, Murali Krishna
  • Veeger, R. P. E.
  • Grossman, Q.
  • Doubrovski, Eugeni
  • Angeloni, Livia
  • Fratila-Apachitei, Lidy
  • Ruffoni, D.
  • Mirzaali, Mohammad, J.
  • Nava, A. Herranz De La
Abstract

<p>Functional gradients are material transitions that are found in nature and are known to result in materials with superior properties and multiple functionalities. The emerging multi-material 3D printing (=additive manufacturing, AM) techniques provide a powerful tool for the design and fabrication of bioinspired functionally graded materials (FGMs). In particular, the spatial distribution of materials can be controlled at the level of individual volumetric pixels (voxels i.e., cubes with side lengths of 20–40 μm), thereby ensuring accuracy, reliability, and reproducibility of the obtained properties and allowing for systematic studies of how various design variables affect the deformation and fracture behaviors of FGMs. Here, we designed, 3D printed, and mechanically tested tensile and notched FGMs specimens with step-wise (i.e., 5-, 10-, and 15-steps) and continuous (sigmoid and linear) gradients. The deformation and fracture mechanisms of these FGM composites were studied using digital image correlation, digital microscopy, and scanning electron microscopy. We further characterized the chemical composition and local mechanical properties of FGM composites using XPS and nanoindentation measurements, respectively. Tensile test specimens with a continuous gradient (i.e., linear) exhibited much higher Young's moduli (≈3-folds) and ultimate strengths (≈2-folds) but lower elongations (≈2-folds drop) as compared to those with stepwise gradients (i.e., 5-steps). Similarly, notched specimens with linear gradients exhibited 2-folds higher values of the stiffness and fracture stress, but 1.5-folds lower fracture strains as compared to those with 5-steps gradients. Although we found non-uniform highly concentrated strain distributions in all specimens, FGMs with linear gradients showed a smoother strain distribution and smaller crack blunting zones as compared to those with stepwise gradients. Our results imply that for stiffness and strength linear-gradient perform better than abrupt hard-soft-hard specimens.</p>

Topics
  • scanning electron microscopy
  • x-ray photoelectron spectroscopy
  • crack
  • strength
  • composite
  • nanoindentation
  • chemical composition
  • fracture behavior
  • additive manufacturing