Adaptive grid implementation for parallel continuum mechanics methods in particle simulations

Mehl, Miriam; Lahnert, Michael

doi:10.1140/epjst/e2019-800161-5

“…As mentioned in the Introduction, many soft matter systems host concurrent interactions encompassing six or more decades in space and nearly twice as many in time. Two major directions can be endorsed to face this situation: the first consists in developing sophisticated multiscale methods capable of covering five-six spatial decades through a clever combination of advanced computational techniques, such as local grid-refinement, adaptive grids, or grid-particle combinations [45,46,47,48,49].…”

Section: Lb Methods For Microfluidic Crystalsmentioning

confidence: 99%

A passenger model for simulating boarding and alighting in spatially confined transportation scenarios

Su

¹

,

Andelfinger

²

,

Kwak

³

et al. 2020

Journal of Computational Science

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“…As mentioned in the Introduction, many soft matter systems host concurrent interactions encompassing six or more decades in space and nearly twice as many in time. Two major directions can be endorsed to face this situation: the first consists in developing sophisticated multiscale methods capable of covering five-six spatial decades through a clever combination of advanced computational techniques, such as local grid-refinement, adaptive grids, or grid-particle combinations [47,48,49,50,51].…”

Section: Lb Methods For Microfluidic Crystalsmentioning

confidence: 99%

Towards Exascale Design of Soft Mesoscale Materials

Succi¹,

Amati²,

Bonaccorso³

et al. 2020

Preprint

0

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“…To this end, the non-spatial aspects of particles are explored with multivariate visualization methods, e.g., scatter plots, scatter plot matrix, parallel coordinates, dimensional reduction and radial plots. In their tutorial review paper Mehl and Lahnert [19] describe a minimally invasive approach for integrating dynamically adaptive tree-structured grids into existing simulation software that has been developed for regular Cartesian grids. The authors introduce different physical models that span a wide range of typical simulation characteristics: from grid-based lattice-Boltzmann, finite-volume and finite-difference discretized models to particle-based molecular dynamics models.…”

mentioning

confidence: 99%

Particle methods in natural science and engineering

Holm

¹

,

Ertl

²

,

Schmauder

³

et al. 2019

Eur. Phys. J. Spec. Top.

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This special topics issue offers a broad perspective on the recent developments and reviews of state-of-the-art particle methods in science and engineering applications. This issue grew out of contributions delivered during the closing conference of the Collaborative Research Centre (CRC) 716 that for the last twelve years was contributing important works to the area of "dynamical simulations of systems with large particle numbers". Since particle methods are present in many fields of science and engineering, the papers collected here span a considerable range of subjects and questions, but they also illustrate numerous connections to both fundamental science and technological/industrial applications. In addition reviews display the current state of three software packages that have been developed in this CRC in the area of simulations and visualization.Computer simulations are by now an established scientific field that is used to bridge the gap between experimental data and a purely theoretical analytical explanation. Especially useful are particle-based molecular dynamics (MD) simulations since from an accurate description of the pair interactions of microscopic particles it is possible to deduce the macroscopic material behavior if a sufficiently large ensemble can be simulated for long enough times to deduce equilibrium properties without finite-size effects.The notion of a particle can be manifold. A particle can denote a pseudo-particle in electronic structure theory, an atom, a molecule, or the monomer of a polymer. In even more coarse-grained (CG) approaches they can also represent an effective aggloma

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Adaptive grid implementation for parallel continuum mechanics methods in particle simulations

Abstract: and anyone I forgot to mention here. Special thanks to Julian for providing this awesome template.

Cited by 6 publications

References 148 publications

A passenger model for simulating boarding and alighting in spatially confined transportation scenarios

A passenger model for simulating boarding and alighting in spatially confined transportation scenarios

Towards Exascale Design of Soft Mesoscale Materials

Particle methods in natural science and engineering

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