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

Tannoia, Angela

  • Google
  • 1
  • 16
  • 35

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2017Dynamic Mechanical Interactions Between Neighboring Airspaces Determine Cyclic Opening and Closure in Injured Lung35citations

Places of action

Chart of shared publication
Borges, Joao Batista
1 / 1 shared
Bates, Jason H. T.
1 / 1 shared
Degrugilliers, Loic
1 / 1 shared
Smith, Bradford J.
1 / 1 shared
Derosa, Savino
1 / 1 shared
Sindaco, Alessandra
1 / 1 shared
Bravin, Alberto
1 / 1 shared
Pellegrini, Mariangela
1 / 1 shared
Perchiazzi, Gaetano
1 / 1 shared
Porra, Liisa
1 / 1 shared
Bayat, Sam
1 / 1 shared
Hedenstierna, Goran
1 / 1 shared
Verbanck, Sylvia
1 / 2 shared
Larsson, Anders
1 / 5 shared
Wexler, Anthony S.
1 / 2 shared
Broche, Ludovic
1 / 2 shared
Chart of publication period
2017

Co-Authors (by relevance)

  • Borges, Joao Batista
  • Bates, Jason H. T.
  • Degrugilliers, Loic
  • Smith, Bradford J.
  • Derosa, Savino
  • Sindaco, Alessandra
  • Bravin, Alberto
  • Pellegrini, Mariangela
  • Perchiazzi, Gaetano
  • Porra, Liisa
  • Bayat, Sam
  • Hedenstierna, Goran
  • Verbanck, Sylvia
  • Larsson, Anders
  • Wexler, Anthony S.
  • Broche, Ludovic
OrganizationsLocationPeople

article

Dynamic Mechanical Interactions Between Neighboring Airspaces Determine Cyclic Opening and Closure in Injured Lung

  • Borges, Joao Batista
  • Bates, Jason H. T.
  • Degrugilliers, Loic
  • Smith, Bradford J.
  • Derosa, Savino
  • Sindaco, Alessandra
  • Bravin, Alberto
  • Tannoia, Angela
  • Pellegrini, Mariangela
  • Perchiazzi, Gaetano
  • Porra, Liisa
  • Bayat, Sam
  • Hedenstierna, Goran
  • Verbanck, Sylvia
  • Larsson, Anders
  • Wexler, Anthony S.
  • Broche, Ludovic
Abstract

<p>Objectives: Positive pressure ventilation exposes the lung to mechanical stresses that can exacerbate injury. The exact mechanism of this pathologic process remains elusive. The goal of this study was to describe recruitment/derecruitment at acinar length scales over short-time frames and test the hypothesis that mechanical interdependence between neighboring lung units determines the spatial and temporal distributions of recruitment/derecruitment, using a computational model. Design: Experimental animal study. Setting: International synchrotron radiation laboratory. Subjects: Four anesthetized rabbits, ventilated in pressure controlled mode. Interventions: The lung was consecutively imaged at ∼ 1.5-minute intervals using phase-contrast synchrotron imaging, at positive end-expiratory pressures of 12, 9, 6, 3, and 0 cm H<sub>2</sub>O before and after lavage and mechanical ventilation induced injury. The extent and spatial distribution of recruitment/derecruitment was analyzed by subtracting subsequent images. In a realistic lung structure, we implemented a mechanistic model in which each unit has individual pressures and speeds of opening and closing. Derecruited and recruited lung fractions (F<sub>derecruited</sub>, F<sub>recruited</sub>) were computed based on the comparison of the aerated volumes at successive time points. Measurements and Main Results: Alternative recruitment/derecruitment occurred in neighboring alveoli over short-time scales in all tested positive end-expiratory pressure levels and despite stable pressure controlled mode. The computational model reproduced this behavior only when parenchymal interdependence between neighboring acini was accounted for. Simulations closely mimicked the experimental magnitude of F<sub>derecruited</sub> and F<sub>recruited</sub> when mechanical interdependence was included, while its exclusion gave F<sub>recruited</sub> values of zero at positive end-expiratory pressure greater than or equal to 3 cm H<sub>2</sub>O. Conclusions: These findings give further insight into the microscopic behavior of the injured lung and provide a means of testing protective-ventilation strategies to prevent recruitment/derecruitment and subsequent lung damage.</p>

Topics
  • phase
  • simulation