| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ala-Nissila, Tapio
Aalto University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024Adsorption of polyelectrolytes in the presence of varying dielectric discontinuity between solution and substratecitations
- 2023Theoretical and computational analysis of the electrophoretic polymer mobility inversion induced by charge correlationscitations
- 2021Silica-silicon composites for near-infrared reflectioncitations
- 2021Silica-silicon composites for near-infrared reflection: A comprehensive computational and experimental studycitations
- 2019Theoretical modeling of polymer translocationcitations
- 2019Thermoplasmonic Response of Semiconductor Nanoparticlescitations
- 2019Phase-field crystal model for heterostructurescitations
- 2018Dielectric trapping of biopolymers translocating through insulating membranescitations
- 2016Electrostatic energy barriers from dielectric membranes upon approach of translocating DNA moleculescitations
- 2016Global transition path search for dislocation formation in Ge on Si(001)citations
- 2016Novel microstructured polyol-polystyrene composites for seasonal heat storagecitations
- 2016Multiscale modeling of polycrystalline graphenecitations
- 2015Entropy production in a non-Markovian environmentcitations
- 2014Biopolymer Filtration in Corrugated Nanochannelscitations
- 2014Electrostatic correlations on the ionic selectivity of cylindrical membrane nanoporescitations
- 2013Microscopic formulation of non-local electrostatics in polar liquids embedding polarizable ionscitations
- 2013Modeling Self-Organization of Thin Strained Metallic Overlayers from Atomic to Micron Scalescitations
- 2013Alteration of gas phase ion polarizabilities upon hydration in high dielectric liquidscitations
- 2012Unifying model of driven polymer translocationcitations
- 2012Correlations between mechanical, structural, and dynamical properties of polymer nanocompositescitations
- 2012Influence of nanoparticle size, loading, and shape on the mechanical properties of polymer nanocompositescitations
- 2009Thermodynamics of bcc metals in phase-field-crystal modelscitations
- 2009Diffusion-controlled anisotropic growth of stable and metastable crystal polymorphs in the phase-field crystal modelcitations
- 2007Interplay between steps and non-equilibrium effects in surface diffusion for a lattice-gas model of O/W(110)citations
- 2007Polymer scaling and dynamics in steady-state sedimentation at infinite Peclet numbercitations
- 2002Effects of quenched impurities on surface diffusion, spreading and ordering of O/W(110)citations
- 2001Density profile evolution and nonequilibrium effects in partial and full spreading measurements of surface diffusioncitations
Places of action
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article
Influence of nanoparticle size, loading, and shape on the mechanical properties of polymer nanocomposites
Abstract
We study the influence of spherical, triangular, and rod-like nanoparticles on the mechanical properties of a polymer nanocomposite (PNC), via coarse-grained molecular dynamics simulations. We focus on how the nanoparticle size, loading, mass, and shape influence the PNC’s elastic modulus, stress at failure and resistance against cavity formation and growth, under external stress. We find that in the regime of strong polymer-nanoparticle interactions, the formation of a polymer network via temporary polymer-nanoparticle crosslinks has a predominant role on the PNC reinforcement. Spherical nanoparticles, whose size is comparable to that of the polymer monomers, are more effective at toughening the PNC than larger spherical particles. When comparing particles of spherical, triangular, and rod-like geometries, the rod-like nanoparticles emerge as the best PNC toughening agents.