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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022A critical analysis of research methods and experimental models to study the load capacity and clinical behaviour of the root filled teeth24citations
  • 2022Mechanistic Insights into Ni(II)-Catalyzed Nonalternating Ethylene-Carbon Monoxide Copolymerization33citations
  • 2020Patterned, morphing composites via maskless photo-click lithography3citations
  • 2020PMMA-grafted graphene nanoplatelets to reinforce the mechanical and thermal properties of PMMA composites73citations

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Chart of shared publication
Perdigão, Jorge
1 / 1 shared
Ordinola-Zapata, Ronald
1 / 1 shared
Mecking, Stefan
1 / 32 shared
Odenwald, Lukas
1 / 1 shared
Caporaso, Lucia
1 / 5 shared
Voccia, Maria
1 / 1 shared
Falivene, Laura
1 / 4 shared
Baur, Maximilian
1 / 3 shared
Aguilar-Tadeo, Julio Adrian
1 / 2 shared
Gresil, Matthieu
1 / 31 shared
Lyu, Shida
1 / 3 shared
Kinloch, Ian A.
2 / 59 shared
Soutis, Costas
1 / 356 shared
Wu, Rui
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Blaker, Jonny J.
1 / 15 shared
Derby, Brian
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Zheng, Fei
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Li, Zheling
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Vallés, Cristina
1 / 19 shared
Spencer, Ben Felix
1 / 14 shared
Papageorgiou, Dimitrios G.
1 / 60 shared
Young, Robert J.
1 / 67 shared
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2022
2020

Co-Authors (by relevance)

  • Perdigão, Jorge
  • Ordinola-Zapata, Ronald
  • Mecking, Stefan
  • Odenwald, Lukas
  • Caporaso, Lucia
  • Voccia, Maria
  • Falivene, Laura
  • Baur, Maximilian
  • Aguilar-Tadeo, Julio Adrian
  • Gresil, Matthieu
  • Lyu, Shida
  • Kinloch, Ian A.
  • Soutis, Costas
  • Wu, Rui
  • Blaker, Jonny J.
  • Derby, Brian
  • Zheng, Fei
  • Li, Zheling
  • Vallés, Cristina
  • Spencer, Ben Felix
  • Papageorgiou, Dimitrios G.
  • Young, Robert J.
OrganizationsLocationPeople

article

A critical analysis of research methods and experimental models to study the load capacity and clinical behaviour of the root filled teeth

  • Perdigão, Jorge
  • Lin, Fei
  • Ordinola-Zapata, Ronald
Abstract

<jats:title>Abstract</jats:title><jats:p>The prognosis of root‐filled teeth depends not only on a successful root canal treatment but also on the restorative prognosis. This critical review discusses the advantages and limitations of various methodologies used to assess the load capacity or clinical survivability of root‐filled teeth and restorations. These methods include static loading, cyclic loading, finite element analysis and randomized clinical trials. <jats:italic>In vitro</jats:italic> research is valuable for preclinical screening of new dental materials or restorative modalities. It also can assist investigators or industry to decide whether further clinical trials are justified. It is important that these models present high precision and accuracy, be reproducible, and present adequate outcomes. Although <jats:italic>in vitro</jats:italic> models can reduce confounding by controlling important variables, the lack of clinical validation (accuracy) is a downside that has not been properly addressed. Most importantly, many <jats:italic>in vitro</jats:italic> studies did not explore the mechanisms of failure and their results are limited to rank different materials or treatment modalities according to the maximum load capacity. An extensive number of randomized clinical trials have also been published in the last years. These trials have provided valuable insight on the survivability of the root‐filled tooth answering numerous clinical questions. However, trials can also be affected by the selected outcome and by intrinsic and extrinsic biases. For example, selection bias, loss to follow‐up and confounding. In the clinical scenario, hypothesis‐based studies are preferred over observational and retrospective studies. It is recommended that hypothesis‐based studies minimize error and bias during the design phase.</jats:p>

Topics
  • impedance spectroscopy
  • phase
  • finite element analysis