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 Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2017Morphological and Mechanical Biomimetic Bone Structures8citations
  • 2016Morphological and mechanical biomimetic bone structures8citations

Places of action

Chart of shared publication
Pani, M.
1 / 7 shared
Parwani, R.
1 / 1 shared
Curto, M.
1 / 1 shared
Tozzi, G.
1 / 3 shared
Kao, A. P.
1 / 1 shared
Barber, A. H.
1 / 5 shared
Curto, Marco
1 / 2 shared
Kao, Alex
1 / 1 shared
Pani, Martino
1 / 2 shared
Tozzi, Gianluca
1 / 13 shared
Parwani, Rachna
1 / 1 shared
Barber, Asa
1 / 7 shared
Chart of publication period
2017
2016

Co-Authors (by relevance)

  • Pani, M.
  • Parwani, R.
  • Curto, M.
  • Tozzi, G.
  • Kao, A. P.
  • Barber, A. H.
  • Curto, Marco
  • Kao, Alex
  • Pani, Martino
  • Tozzi, Gianluca
  • Parwani, Rachna
  • Barber, Asa
OrganizationsLocationPeople

article

Morphological and Mechanical Biomimetic Bone Structures

  • Pani, M.
  • Parwani, R.
  • Curto, M.
  • Rowley, Peter
  • Tozzi, G.
  • Kao, A. P.
  • Barber, A. H.
Abstract

© 2016 American Chemical Society. Cortical bone is an example of a mineralized tissue containing a compositional distribution of hard and soft phases in 3-dimensional space for mechanical function. X-ray computed tomography (XCT) is able to describe this compositional and morphological complexity but methods to provide a physical output with comparable mechanical function is lacking. A workflow is presented here to establish a method of using high contrast XCT to establish a virtual model of cortical bone that is manufactured using a multiple material capable 3D printer. Resultant 3D printed structures were produced based on more and less remodelled bone designs exhibiting a range of secondary osteon density. Variation in resultant mechanical properties of the 3D printed composite structures for each bone design was achieved using a combination of material components and reasonable prediction of elastic modulus provided using a Hashin-Shtrikman approach. The ability to 3D print composite structures using high contrast XCT to distinguish between compositional phases in a biological structure promises improved anatomical models as well as next-generation mechano-mimetic implants.

Topics
  • density
  • impedance spectroscopy
  • phase
  • tomography
  • laser emission spectroscopy
  • composite
  • additive manufacturing