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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Zaccarelli, Emanuela

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Structure and elasticity of model disordered, polydisperse, and defect-free polymer networks12citations
  • 2022Link between Morphology, Structure, and Interactions of Composite Microgels11citations
  • 2022Onset of criticality in hyper-auxetic polymer networks9citations
  • 2022Structure and elasticity of model disordered, polydisperse and defect-free polymer networkscitations
  • 2021Effect of Chain Polydispersity on the Elasticity of Disordered Polymer Networks40citations
  • 2019Microgels Adsorbed at Liquid-Liquid Interfaces105citations
  • 2019Multi-particle collision dynamics for a coarse-grained model of soft colloids7citations

Places of action

Chart of shared publication
Sorichetti, Valerio
3 / 4 shared
Micheletti, Cristian
2 / 2 shared
Hugouvieux, Virginie
3 / 6 shared
Rovigatti, Lorenzo
4 / 5 shared
Ninarello, Andrea
5 / 5 shared
Ruiz-Franco, José
5 / 6 shared
Kob, Walter
3 / 34 shared
Rivas-Barbosa, Rodrigo
1 / 1 shared
Lara-Peña, Mayra A.
1 / 1 shared
Camerin, Fabrizio
2 / 3 shared
Licea-Claverie, Angel
1 / 1 shared
Cardellini, Jacopo
1 / 1 shared
Laurati, Marco
1 / 3 shared
Ruiz-Franco, José, M.
1 / 1 shared
Isa, Lucio
1 / 9 shared
Fernández-Rodríguez, Miguel Ángel
1 / 1 shared
Gnan, Nicoletta
1 / 1 shared
Antonopoulou, Maria-Nefeli
1 / 1 shared
Jaramillo-Cano, Diego
1 / 1 shared
Likos, Christos N.
1 / 5 shared
Camargo, Manuel
1 / 2 shared
Chart of publication period
2023
2022
2021
2019

Co-Authors (by relevance)

  • Sorichetti, Valerio
  • Micheletti, Cristian
  • Hugouvieux, Virginie
  • Rovigatti, Lorenzo
  • Ninarello, Andrea
  • Ruiz-Franco, José
  • Kob, Walter
  • Rivas-Barbosa, Rodrigo
  • Lara-Peña, Mayra A.
  • Camerin, Fabrizio
  • Licea-Claverie, Angel
  • Cardellini, Jacopo
  • Laurati, Marco
  • Ruiz-Franco, José, M.
  • Isa, Lucio
  • Fernández-Rodríguez, Miguel Ángel
  • Gnan, Nicoletta
  • Antonopoulou, Maria-Nefeli
  • Jaramillo-Cano, Diego
  • Likos, Christos N.
  • Camargo, Manuel
OrganizationsLocationPeople

article

Multi-particle collision dynamics for a coarse-grained model of soft colloids

  • Jaramillo-Cano, Diego
  • Zaccarelli, Emanuela
  • Likos, Christos N.
  • Camargo, Manuel
  • Ruiz-Franco, José
Abstract

<jats:p>The growing interest in the dynamical properties of colloidal suspensions, both in equilibrium and under an external drive such as shear or pressure flow, requires the development of accurate methods to correctly include hydrodynamic effects due to the suspension in a solvent. In the present work, we generalize Multiparticle Collision Dynamics (MPCD) to be able to deal with soft, polymeric colloids. Our methods build on the knowledge of the monomer density profile that can be obtained from monomer-resolved simulations without hydrodynamics or from theoretical arguments. We hereby propose two different approaches. The first one simply extends the MPCD method by including in the simulations effective monomers with a given density profile, thus neglecting monomer-monomer interactions. The second one considers the macromolecule as a single penetrable soft colloid (PSC), which is permeated by an inhomogeneous distribution of solvent particles. By defining an appropriate set of rules to control the collision events between the solvent and the soft colloid, both linear and angular momenta are exchanged. We apply these methods to the case of linear chains and star polymers for varying monomer lengths and arm number, respectively, and compare the results for the dynamical properties with those obtained within monomer-resolved simulations. We find that the effective monomer method works well for linear chains, while the PSC method provides very good results for stars. These methods pave the way to extend MPCD treatments to complex macromolecular objects such as microgels or dendrimers and to work with soft colloids at finite concentrations.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • polymer
  • simulation
  • dendrimer