Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session H21: Advances in Computational Methods for Statistical Physics and Their Applications III
2:30 PM–5:30 PM,
Tuesday, March 5, 2019
BCEC
Room: 157B
Sponsoring
Units:
DCOMP DCMP GSNP
Chair: Markus Eisenbach, Oak Ridge National Laboratory
Abstract: H21.00007 : Accelerated simulation of gelation
4:06 PM–4:18 PM
Presenter:
Romain Dupuis
(CNRS/MIT/AMU Joint Laboratory MultiScale Materials Science for Energy and Environment, UMI
Authors:
Romain Dupuis
(CNRS/MIT/AMU Joint Laboratory MultiScale Materials Science for Energy and Environment, UMI
Laurent Beland
(Department of Mechanical & Materials Engineering, Queens university)
Roland JM Pellenq
(CNRS/MIT/AMU Joint Laboratory MultiScale Materials Science for Energy and Environment, UMI
Being able to simulate the structural, mechanical and dynamical properties of gels would have far-reaching consequences to improve the synthetization of materials and to lengthen their lifetime. This requires rather demanding computational power, which is worsen by the fact that gels have weak long-distance ordering (which requires large simulation cells) and that the gelation is a slow process due to high energy barrier for bond formation.
In order to reproduce the gelation we coupled GCMC and Parallel tempering methods to enhance the formation of silicate chains and reduce the computational costs. Using such cost-efficient method, we were able to study the formation of alkali-silica gels that is key to understand concrete structures failure.
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