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

Devlin, Hugh

  • Google
  • 11
  • 22
  • 359

University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 20243D-printed nanocomposite denture base resin: the effect of incorporating TiO2 nanoparticles on the growth of Candida albicans11citations
  • 2024Impact of Artificial Aging on the Physical and Mechanical Characteristics of Denture Base Materials Fabricated via 3D Printing7citations
  • 20233D‐Printed nanocomposite denture base resin:The effect of incorporating TiO 2 nanoparticles on the growth of Candida albicans11citations
  • 20233D‐Printed nanocomposite denture base resin: The effect of incorporating TiO2 nanoparticles on the growth of candida albicans11citations
  • 20233D printed denture base material: The effect of incorporating TiO2 nanoparticles and artificial ageing on the physical and mechanical properties18citations
  • 20233D‐Printed nanocomposite denture base resin: The effect of incorporating TiO 2 nanoparticles on the growth of candida albicans11citations
  • 2022Assessing the physical and mechanical properties of 3D printed acrylic material for denture base application74citations
  • 2018Effect of the Er: YAG laser on the shear bond strength of conventional glass ionomer and Biodentine™ to dentine11citations
  • 2007A mathematical model for simulating the bone remodeling process under mechanical stimulus172citations
  • 2006Hardness of enamel exposed to Coca-Cola(R) and artificial saliva.citations
  • 2005The effect of water absorption on acrylic surface properties33citations

Places of action

Chart of shared publication
Mcbain, Andrew J.
2 / 2 shared
Haider, Julfikar
7 / 56 shared
Yates, Julian M.
2 / 3 shared
Altarazi, Ahmed
7 / 7 shared
Jadaan, Layali
4 / 4 shared
Kushnerev, Evgeny
4 / 4 shared
Silikas, Nick
3 / 10 shared
Alhotan, Abdulaziz
7 / 14 shared
Silikas, Nikolaos
5 / 93 shared
Yates, Julian
2 / 6 shared
Mcbain, Andrew
2 / 5 shared
Aljdaimi, Abtesam
1 / 1 shared
Dickinson, Mark R.
1 / 2 shared
Li, Jianying
1 / 3 shared
Horner, Keith
1 / 2 shared
Li, Haiyan
1 / 5 shared
Shi, Li
1 / 6 shared
Ucer, Cemal
1 / 1 shared
Fok, Alex S. L.
1 / 3 shared
Boston, D.
1 / 1 shared
Bassiouny, M.
1 / 1 shared
Kaushik, Prashant
1 / 1 shared
Chart of publication period
2024
2023
2022
2018
2007
2006
2005

Co-Authors (by relevance)

  • Mcbain, Andrew J.
  • Haider, Julfikar
  • Yates, Julian M.
  • Altarazi, Ahmed
  • Jadaan, Layali
  • Kushnerev, Evgeny
  • Silikas, Nick
  • Alhotan, Abdulaziz
  • Silikas, Nikolaos
  • Yates, Julian
  • Mcbain, Andrew
  • Aljdaimi, Abtesam
  • Dickinson, Mark R.
  • Li, Jianying
  • Horner, Keith
  • Li, Haiyan
  • Shi, Li
  • Ucer, Cemal
  • Fok, Alex S. L.
  • Boston, D.
  • Bassiouny, M.
  • Kaushik, Prashant
OrganizationsLocationPeople

article

A mathematical model for simulating the bone remodeling process under mechanical stimulus

  • Devlin, Hugh
  • Li, Jianying
  • Silikas, Nikolaos
  • Horner, Keith
  • Li, Haiyan
  • Shi, Li
  • Ucer, Cemal
  • Fok, Alex S. L.
Abstract

Objectives: Among the current mathematical models for bone remodeling, few can consider bone resorption due to overload. The objective of this paper is to develop a new bone remodeling model which can simulate both underload and overload resorptions that often occur in dental implant treatments. Methods: Based on the traditional model, a new mathematical equation relating the density change rate with mechanical stimulus has been developed. The new equation contains an additional quadratic term which can produce reduction in bone density at high load levels. In addition, to fully exploit the characteristics of this model, a range of different bone remodeling behaviors were studied under the load cases with both constant and varying stress magnitudes. Finally, the model was applied in conjunction with the finite element method to a practical case of dental implant treatment. Results: The FE analysis results showed that bone resorption at the neck of the implant occurred due to occlusal overload but then resorption stopped after some time before reaching the coarse threads. Meanwhile, the density of the bone deeper into the mandible increased slightly due to the additional mechanical stimulus provided by the occlusal load. This phenomenon is observable in some clinical situations. Significance: The new model can describe the bone overload resorption, a feature which is absent in most of the current models. And by simulating the dental implant treatment using FE method, the ability of the new mathematical model to simulate overload bone resorption has been clearly demonstrated. © 2006 Academy of Dental Materials.

Topics
  • density
  • impedance spectroscopy