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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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 (10/10 displayed)

  • 2022Build up of yield stress fluids via chaotic emulsification8citations
  • 2022Build up of yield stress fluids via chaotic emulsification8citations
  • 2021Impact of the pre-quench state of binary fluid mixtures on surface-directed spinodal decomposition5citations
  • 2021Stress Overshoots in Simple Yield Stress Fluids32citations
  • 2020A multi-component lattice Boltzmann approach to study the causality of plastic events: LBM for causality of plastic eventscitations
  • 2020A multi-component lattice Boltzmann approach to study the causality of plastic events1citations
  • 2019Unified theoretical and experimental view on transient shear banding30citations
  • 2014Spinodal decomposition in homogeneous and isotropic turbulence68citations
  • 2014Direct evidence of plastic events and dynamic heterogeneities in soft-glassescitations
  • 2013Turbulence induced coarsening arrest in spinodal decompositioncitations

Places of action

Chart of shared publication
Benzi, Roberto
9 / 9 shared
Staso, Gianluca Di
1 / 1 shared
Girotto, Ivan
2 / 2 shared
Schifano, Sebastiano F.
2 / 2 shared
Scagliarini, A.
2 / 3 shared
Di Staso, Gianluca
1 / 1 shared
Goyal, Abheeti
1 / 1 shared
Manneville, Sébastien
2 / 18 shared
Sbragaglia, Mauro
2 / 2 shared
Divoux, Thibaut
2 / 18 shared
Barentin, Catherine
2 / 7 shared
Kumar, Pinaki
2 / 2 shared
Trampert, Jeannot
2 / 4 shared
Clercx, Hjh Herman
2 / 5 shared
Nelson, D. R.
2 / 2 shared
Perlekar, P.
3 / 3 shared
Sbragaglia, M.
1 / 2 shared
Bernaschi, M.
1 / 1 shared
Succi, S.
1 / 2 shared
Chart of publication period
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Co-Authors (by relevance)

  • Benzi, Roberto
  • Staso, Gianluca Di
  • Girotto, Ivan
  • Schifano, Sebastiano F.
  • Scagliarini, A.
  • Di Staso, Gianluca
  • Goyal, Abheeti
  • Manneville, Sébastien
  • Sbragaglia, Mauro
  • Divoux, Thibaut
  • Barentin, Catherine
  • Kumar, Pinaki
  • Trampert, Jeannot
  • Clercx, Hjh Herman
  • Nelson, D. R.
  • Perlekar, P.
  • Sbragaglia, M.
  • Bernaschi, M.
  • Succi, S.
OrganizationsLocationPeople

report

Direct evidence of plastic events and dynamic heterogeneities in soft-glasses

  • Benzi, Roberto
  • Toschi, Federico
  • Sbragaglia, M.
  • Bernaschi, M.
  • Perlekar, P.
  • Succi, S.
Abstract

By using fluid-kinetic simulations of confined and concentrated emulsion droplets, we investigate the nature of space non-homogeneity in soft-glassy dynamics and provide quantitative measurements of the statistical features of plastic events in the proximity of the yield-stress threshold. Above the yield stress, our results show the existence of a finite stress correlation scale, which can be mapped directly onto the cooperativity scale, recently introduced in the literature to capture non-local effects in the soft-glassy dynamics. In this regime, the emergence of a separate boundary (wall) rheology with higher fluidity than the bulk, is highlighted in terms of near-wall spontaneous segregation of plastic events. Near the yield stress, where the cooperative scale cannot be estimated with sufficient accuracy, the system shows a clear increase of the stress correlation scale, whereas plastic events exhibit intermittent clustering in time, with no preferential spatial location. A quantitative measurement of the space-time correlation associated with the motion of the interface of the droplets is key to spot the long-range amorphous order at the yield stress threshold.

Topics
  • impedance spectroscopy
  • polymer
  • amorphous
  • simulation
  • glass
  • glass
  • clustering