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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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2023Novel hybrid biocomposites for tendon grafts20citations
  • 2023Silane-modified hydroxyapatite nanoparticles incorporated into polydioxanone/poly(lactide-co-caprolactone) creates a novel toughened nanocomposite with improved material properties and in vivo inflammatory responses18citations
  • 2022The Technological Advancement to Engineer Next-Generation Stent-Grafts32citations
  • 2022Bioprinting silk fibroin using two-photon lithography enables control over the physico-chemical material properties and cellular response26citations
  • 2022Multi-response optimization of shrinkage, clamp force, and part weight in simulated injection molding process of a dialysis micro-filter6citations
  • 2018Mechanical behaviour of alginate-gelatin hydrogels for 3D bioprinting331citations
  • 2017Constitutive modelling of lamb aortacitations
  • 2015Determining the influence of calcification on the failure properties of abdominal aortic aneurysm (AAA) tissue70citations
  • 2013On the prediction of monocyte deposition in abdominal aortic aneurysms using computational fluid dynamics27citations

Places of action

Chart of shared publication
Allardyce, Benjamin
1 / 2 shared
Davachi, Seyed Mohammad
3 / 8 shared
Rajkhowa, Rangam
1 / 3 shared
Zheng, Minghao
2 / 3 shared
Chen, Peilin
2 / 2 shared
De-Juan-Pardo, Elena M.
3 / 10 shared
Ruan, Rui
2 / 2 shared
Shiroud Heidari, Behzad
4 / 9 shared
Granero-Moltó, Froilán
2 / 2 shared
Harrington, Emma
1 / 1 shared
Lopez, Emma Muiños
1 / 1 shared
Lopez, Emma Muinos
1 / 1 shared
Vahabli, Ebrahim
2 / 2 shared
Norman, Paul
1 / 2 shared
Lawrence-Brown, Michael
1 / 1 shared
Mann, James
1 / 1 shared
Chen, Jingyu
1 / 3 shared
Shafei, Sajjad
1 / 2 shared
Allardyce, Benjamin J.
1 / 3 shared
Valente, Filippo
1 / 1 shared
Hepburn, Matt S.
1 / 2 shared
Aldana, Ana A.
1 / 2 shared
Kelsey, Lachlan J.
1 / 1 shared
Bappoo, Nikhilesh
1 / 1 shared
Sercombe, Tim
1 / 23 shared
Giuseppe, Michael Di
1 / 1 shared
Law, Nicholas
1 / 2 shared
Webb, Braeden
1 / 1 shared
Macrae, Ryley A.
1 / 1 shared
Liew, Lawrence J.
1 / 1 shared
Macrae, Ryley Asher
1 / 1 shared
Miller, Karol
1 / 5 shared
Pillow, Jane
1 / 1 shared
Mcgloughlin, T. M.
1 / 1 shared
Walsh, M. T.
1 / 1 shared
Kavanagh, E. G.
1 / 1 shared
Barrett, H. E.
1 / 1 shared
Mulvihill, J. J. E.
1 / 1 shared
Oleary, S. A.
1 / 1 shared
Hoskins, P. R.
1 / 1 shared
Easson, W. J.
1 / 1 shared
Hardman, D.
1 / 1 shared
Semple, S. I. K.
1 / 1 shared
Newby, D. E.
1 / 1 shared
Richards, J. M. J.
1 / 1 shared
Chart of publication period
2023
2022
2018
2017
2015
2013

Co-Authors (by relevance)

  • Allardyce, Benjamin
  • Davachi, Seyed Mohammad
  • Rajkhowa, Rangam
  • Zheng, Minghao
  • Chen, Peilin
  • De-Juan-Pardo, Elena M.
  • Ruan, Rui
  • Shiroud Heidari, Behzad
  • Granero-Moltó, Froilán
  • Harrington, Emma
  • Lopez, Emma Muiños
  • Lopez, Emma Muinos
  • Vahabli, Ebrahim
  • Norman, Paul
  • Lawrence-Brown, Michael
  • Mann, James
  • Chen, Jingyu
  • Shafei, Sajjad
  • Allardyce, Benjamin J.
  • Valente, Filippo
  • Hepburn, Matt S.
  • Aldana, Ana A.
  • Kelsey, Lachlan J.
  • Bappoo, Nikhilesh
  • Sercombe, Tim
  • Giuseppe, Michael Di
  • Law, Nicholas
  • Webb, Braeden
  • Macrae, Ryley A.
  • Liew, Lawrence J.
  • Macrae, Ryley Asher
  • Miller, Karol
  • Pillow, Jane
  • Mcgloughlin, T. M.
  • Walsh, M. T.
  • Kavanagh, E. G.
  • Barrett, H. E.
  • Mulvihill, J. J. E.
  • Oleary, S. A.
  • Hoskins, P. R.
  • Easson, W. J.
  • Hardman, D.
  • Semple, S. I. K.
  • Newby, D. E.
  • Richards, J. M. J.
OrganizationsLocationPeople

article

On the prediction of monocyte deposition in abdominal aortic aneurysms using computational fluid dynamics

  • Hoskins, P. R.
  • Easson, W. J.
  • Doyle, Barry
  • Hardman, D.
  • Semple, S. I. K.
  • Newby, D. E.
  • Richards, J. M. J.
Abstract

In abdominal aortic aneurysm disease, the aortic wall is exposed to intense biological activity involving inflammation and matrix metalloproteinase- mediated degradation of the extracellular matrix. These processes are orchestrated by monocytes and rather than affecting the aorta uniformly, damage and weaken focal areas of the wall leaving it vulnerable to rupture. This study attempts to model numerically the deposition of monocytes using large eddy simulation, discrete phase modelling and near-wall particle residence time. The model was first applied to idealised aneurysms and then to three patient-specific lumen geometries using three-component inlet velocities derived from phase-contrast magnetic resonance imaging. The use of a novel, variable wall shear stress-limiter based on previous experimental data significantly improved the results. Simulations identified a critical diameter (1.8 times the inlet diameter) beyond which significant monocyte deposition is expected to occur. Monocyte adhesion occurred proximally in smaller abdominal aortic aneurysms and distally as the sac expands. The near-wall particle residence time observed in each of the patient-specific models was markedly different. Discrete hotspots of monocyte residence time were detected, suggesting that the monocyte infiltration responsible for the breakdown of the abdominal aortic aneurysm wall occurs heterogeneously. Peak monocyte residence time was found to increase with aneurysm sac size. Further work addressing certain limitations is needed in a larger cohort to determine clinical significance. © IMechE 2013.

Topics
  • Deposition
  • impedance spectroscopy
  • phase
  • simulation