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Open AccessJournal ArticleDOI

Multimodel approach for accurate determination of industry-driven properties for Polymer Nanocomposite Materials

TLDR
This work describes the application of multiscale molecular modeling techniques for the choice of PNC materials for aerospace applications and the results are obtained in the framework of the European project Multi-scale Composite Material Selection Platform.
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This article is published in Journal of Computational Science.The article was published on 2018-05-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Material selection.

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Citations
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Multiscale modeling for polymer systems of industrial interest

TL;DR: In this article, a hierarchical procedure for bridging the gap between atomistic and macroscopic modeling passing through mesoscopic simulations is presented, and examples of applications of multiscale procedures to polymer-organoclay nanocomposites are discussed.

Computer simulation of polypropylene/organoclay nanocomposites: characterization of atomic scale structure and prediction of the binding energy

TL;DR: In this paper, molecular simulation techniques are used to explore and characterize the atomic scale structure, and to predict binding energies and basal spacing of polymer/clay nanocomposites based on polypropylene (PP) and maleated polypropylon (PPMA), montmorillonite (MMT), and different alkylammonium ions (quats) as surfactants.
Journal ArticleDOI

Multiscale molecular modelling for the design of nanostructured polymer systems: industrial applications

TL;DR: The main goal of this objective is to show how multiscale in silico experiments in molecular systems design and engineering is at the same time theoretically sound and mature enough for its full exploitation.
Journal ArticleDOI

Integrating Multiscale Simulations for Composite Materials with Industrial Business Decisions: the Eu H2020 Composelector Project Experience

TL;DR: In this paper, a multi-disciplinary, multi-model approach for the accurate, reliable, efficient and cost-effective industry-driven KPIs determination for PNC materials is presented.
References
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Journal ArticleDOI

Novel approaches to multiscale modelling in materials science

TL;DR: In this article, a review of the latest developments in multiscale modelling techniques over the past decade, as applied to selected problems in materials science and engineering, is presented, and the reader is encouraged to explore how such techniques might be applied in their own area of specialty.
Journal ArticleDOI

Computer simulation of nylon-6/organoclay nanocomposites: prediction of the binding energy

TL;DR: In this article, the binding energy of polymer/clay nanocomposites based on nylon-6, montmorillonite (MMT) and several, different quaternary ammonium salts was analyzed.

Multiscale modeling for polymer systems of industrial interest

TL;DR: In this article, a hierarchical procedure for bridging the gap between atomistic and macroscopic modeling passing through mesoscopic simulations is presented, and examples of applications of multiscale procedures to polymer-organoclay nanocomposites are discussed.
Journal ArticleDOI

Computer simulation of polypropylene/organoclay nanocomposites: characterization of atomic scale structure and prediction of binding energy

TL;DR: In this article, molecular simulation techniques are used to explore and characterize the atomic scale structure, and to predict binding energies and basal spacing of polymer/clay nanocomposites based on polypropylene (PP) and maleated polypropylon (PPMA), montmorillonite (MMT), and different alkylammonium ions (quats) as surfactants.
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