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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University of Southampton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2022Nonlinear micro finite element models based on digital volume correlation measurements predict early microdamage in newly formed bone16citations
  • 2020Nanoclay-based 3D printed scaffolds promote vascular ingrowth ex vivo and generate bone mineral tissue in vitro and in vivocitations
  • 2020Nanoclay-based 3D printed scaffolds promote vascular ingrowth ex vivo and generate bone mineral tissue in vitro and in vivo.96citations
  • 2014A comparison of polymer and polymer-hydroxyapatite composite tissue engineered scaffolds for use in bone regeneration. An in vitro and in vivo study.54citations
  • 2013Discovery and evaluation of a functional ternary polymer blend for bone repair: translation from a microarry to a clinical model25citations
  • 2010Strategies for cell manipulation and skeletal tissue engineering using high-throughput polymer blend formulation and microarray techniques70citations
  • 2009Biocompatibility and osteogenic potential of human fetal femur-derived cells on surface selective laser sintered scaffolds72citations
  • 2008Osteogenesis on surface selective laser sintered bioresorbable scaffolds2citations

Places of action

Chart of shared publication
Wolfram, Uwe
1 / 24 shared
Black, Cameron
1 / 2 shared
Tozzi, Gianluca
1 / 13 shared
Sasso, Sebastian J.
1 / 1 shared
Peña Fernández, Marta
1 / 9 shared
Mcphee, Samuel
1 / 3 shared
Gelinsky, M.
1 / 8 shared
Dawson, Jonathan
1 / 13 shared
Glinka, Michael
1 / 5 shared
Ahlfeld, T.
1 / 2 shared
Cidonio, Gianluca
1 / 8 shared
Lanham, Stuart
1 / 7 shared
Kim, Yang-Hee
1 / 9 shared
Lode, Anja
1 / 12 shared
Briscoe, Adam
1 / 3 shared
Tayton, E.
1 / 1 shared
Aarvold, Alexander
1 / 2 shared
Shakesheff, K. M.
1 / 4 shared
Smith, J. O.
1 / 2 shared
Howdle, S. M.
2 / 10 shared
Purcell, M.
1 / 2 shared
Dunlop, D. G.
1 / 4 shared
Smith, James O.
1 / 2 shared
Tare, Rahul
2 / 3 shared
Khan, Ferdous
1 / 2 shared
Khan, F.
1 / 4 shared
Barry, John J. A.
1 / 1 shared
Ivanov, Alexander L.
1 / 1 shared
Hanley, Neil A.
1 / 1 shared
Mirmalek-Sani, Sayed-Hadi
1 / 1 shared
Howdle, Steven M.
1 / 16 shared
Bagratashvili, Victor N.
1 / 1 shared
Popov, Vladimir K.
1 / 1 shared
Antonov, Eugeuni N.
1 / 1 shared
Shakesheff, Kevin M.
1 / 4 shared
Upton, Claire
1 / 1 shared
Mirmalek-Sani, S.
1 / 1 shared
Popov, V. K.
1 / 2 shared
Upton, C.
1 / 1 shared
Bagratashvili, Victor
1 / 1 shared
Antonov, E. N.
1 / 1 shared
Chart of publication period
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2020
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Co-Authors (by relevance)

  • Wolfram, Uwe
  • Black, Cameron
  • Tozzi, Gianluca
  • Sasso, Sebastian J.
  • Peña Fernández, Marta
  • Mcphee, Samuel
  • Gelinsky, M.
  • Dawson, Jonathan
  • Glinka, Michael
  • Ahlfeld, T.
  • Cidonio, Gianluca
  • Lanham, Stuart
  • Kim, Yang-Hee
  • Lode, Anja
  • Briscoe, Adam
  • Tayton, E.
  • Aarvold, Alexander
  • Shakesheff, K. M.
  • Smith, J. O.
  • Howdle, S. M.
  • Purcell, M.
  • Dunlop, D. G.
  • Smith, James O.
  • Tare, Rahul
  • Khan, Ferdous
  • Khan, F.
  • Barry, John J. A.
  • Ivanov, Alexander L.
  • Hanley, Neil A.
  • Mirmalek-Sani, Sayed-Hadi
  • Howdle, Steven M.
  • Bagratashvili, Victor N.
  • Popov, Vladimir K.
  • Antonov, Eugeuni N.
  • Shakesheff, Kevin M.
  • Upton, Claire
  • Mirmalek-Sani, S.
  • Popov, V. K.
  • Upton, C.
  • Bagratashvili, Victor
  • Antonov, E. N.
OrganizationsLocationPeople

article

Nonlinear micro finite element models based on digital volume correlation measurements predict early microdamage in newly formed bone

  • Wolfram, Uwe
  • Black, Cameron
  • Tozzi, Gianluca
  • Sasso, Sebastian J.
  • Peña Fernández, Marta
  • Kanczler, Janos
  • Mcphee, Samuel
Abstract

Bone regeneration in critical-sized defects is a clinical challenge, with biomaterials under constant development aiming at enhancing the natural bone healing process. The delivery of bone morphogenetic proteins (BMPs) in appropriate carriers represents a promising strategy for bone defect treatment but optimisation of the spatial-temporal release is still needed for the regeneration of bone with biological, structural, and mechanical properties comparable to the native tissue. Nonlinear micro finite element (μFE) models can address some of these challenges by providing a tool able to predict the biomechanical strength and microdamage onset in newly formed bone when subjected to physiological or supraphysiological loads. Yet, these models need to be validated against experimental data. In this study, experimental local displacements in newly formed bone induced by osteoinductive biomaterials subjected to in situ X-ray computed tomography compression in the apparent elastic regime and measured using digital volume correlation (DVC) were used to validate μFE models. Displacement predictions from homogeneous linear μFE models were highly correlated to DVC-measured local displacements, while tissue heterogeneity capturing mineralisation differences showed negligible effects. Nonlinear μFE models improved the correlation and showed that tissue microdamage occurs at low apparent strains. Microdamage seemed to occur next to large cavities or in biomaterial-induced thin trabeculae, independent of the mineralisation. While localisation of plastic strain accumulation was similar, the amount of damage accumulated in these locations was slightly higher when including material heterogeneity. These results demonstrate the ability of the nonlinear μFE model to capture local microdamage in newly formed bone tissue and can be exploited to improve the current understanding of healing bone and mechanical competence. This will ultimately aid the development of BMPs delivery systems for bone defect treatment able to regenerate bone with optimal biological, mechanical, and structural properties.

Topics
  • impedance spectroscopy
  • polymer
  • tomography
  • strength
  • defect
  • biomaterials