The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials

We introduce the concept of Potential of Mean Force, PMF, as a way to implement upscaling modeling from the nano-scale to micron-scale. A PMF is a free energy function representing in an effective way the interactions between objects (cement hydrates, clay platelets, etc.) at thermodynamics conditio...

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Main Authors: Ioannidou Katerina, Carrier Benoit, Vandamme Matthieu, Pellenq Roland
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201714001009
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author Ioannidou Katerina
Carrier Benoit
Vandamme Matthieu
Pellenq Roland
author_facet Ioannidou Katerina
Carrier Benoit
Vandamme Matthieu
Pellenq Roland
author_sort Ioannidou Katerina
collection DOAJ
description We introduce the concept of Potential of Mean Force, PMF, as a way to implement upscaling modeling from the nano-scale to micron-scale. A PMF is a free energy function representing in an effective way the interactions between objects (cement hydrates, clay platelets, etc.) at thermodynamics conditions. The PMF is therefore the key piece of information allowing to coarse-grained Physical-Chemistry information in a meso-scale model formulation. The use of PMF offers a huge computational advantage as it allows a straight up-scaling to the meso-scale while keeping essential interactions information that are the hallmark of Physical-Chemistry processes. Such a coarse-grained modeling integrates atomistic response into inter-particle potentials that fully propagate molecular scale information all the way to the meso-scale.
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spelling doaj.art-e58e16c545c84087ba58922ebd97ea4f2022-12-21T21:24:15ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011400100910.1051/epjconf/201714001009epjconf170311The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materialsIoannidou KaterinaCarrier Benoit0Vandamme Matthieu1Pellenq RolandLaboratoire Navier, Université Paris-Est, CNRS, ENPC, IFSTTARLaboratoire Navier, Université Paris-Est, CNRS, ENPC, IFSTTARWe introduce the concept of Potential of Mean Force, PMF, as a way to implement upscaling modeling from the nano-scale to micron-scale. A PMF is a free energy function representing in an effective way the interactions between objects (cement hydrates, clay platelets, etc.) at thermodynamics conditions. The PMF is therefore the key piece of information allowing to coarse-grained Physical-Chemistry information in a meso-scale model formulation. The use of PMF offers a huge computational advantage as it allows a straight up-scaling to the meso-scale while keeping essential interactions information that are the hallmark of Physical-Chemistry processes. Such a coarse-grained modeling integrates atomistic response into inter-particle potentials that fully propagate molecular scale information all the way to the meso-scale.https://doi.org/10.1051/epjconf/201714001009
spellingShingle Ioannidou Katerina
Carrier Benoit
Vandamme Matthieu
Pellenq Roland
The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials
EPJ Web of Conferences
title The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials
title_full The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials
title_fullStr The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials
title_full_unstemmed The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials
title_short The Potential of Mean Force concept for bridging (length and time) scales in the modeling of complex porous materials
title_sort potential of mean force concept for bridging length and time scales in the modeling of complex porous materials
url https://doi.org/10.1051/epjconf/201714001009
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