scholarly journals Particle-resolved lattice Boltzmann simulations of 3-dimensional active turbulence

Soft Matter ◽  
2019 ◽  
Vol 15 (39) ◽  
pp. 7747-7756 ◽  
Author(s):  
Dóra Bárdfalvy ◽  
Henrik Nordanger ◽  
Cesare Nardini ◽  
Alexander Morozov ◽  
Joakim Stenhammar

The dynamics of active turbulence in a suspension of swimming bacteria is characterised using large-scale lattice Boltzmann simulations of model microswimmers and compared to theoretical predictions.

2007 ◽  
Author(s):  
Radhika Saksena ◽  
Peter V. Coveney ◽  
Robin Pinning ◽  
Stephen Booth

2020 ◽  
Vol 4 (4) ◽  
pp. 55
Author(s):  
Florian Günther ◽  
Qingguang Xie ◽  
Jens Harting

We investigate the equilibrium orientation and adsorption process of a single, ellipsoidal Janus particle at a fluid–fluid interface. The particle surface comprises equally sized parts that are hydrophobic or hydrophilic. We present free energy models to predict the equilibrium orientation and compare the theoretical predictions with lattice Boltzmann simulations. We find that the deformation of the fluid interface strongly influences the equilibrium orientation of the Janus ellipsoid. The adsorption process of the Janus ellipsoid can lead to different final orientations determined by the interplay of particle aspect ratio and particle wettablity contrast.


2015 ◽  
Vol 2015.28 (0) ◽  
pp. _241-1_-_241-2_
Author(s):  
Tomohiro Takaki ◽  
Shinji Sakane ◽  
Roberto Rojas ◽  
Munekazu Ohno ◽  
Yasushi ◽  
...  

Author(s):  
Radhika S. Saksena ◽  
Marco D. Mazzeo ◽  
Stefan J. Zasada ◽  
Peter V. Coveney

We present very large-scale rheological studies of self-assembled cubic gyroid liquid crystalline phases in ternary mixtures of oil, water and amphiphilic species performed on petascale supercomputers using the lattice-Boltzmann method. These nanomaterials have found diverse applications in materials science and biotechnology, for example, in photovoltaic devices and protein crystallization. They are increasingly gaining importance as delivery vehicles for active agents in pharmaceuticals, personal care products and food technology. In many of these applications, the self-assembled structures are subject to flows of varying strengths and we endeavour to understand their rheological response with the objective of eventually predicting it under given flow conditions. Computationally, our lattice-Boltzmann simulations of ternary fluids are inherently memory- and data-intensive. Furthermore, our interest in dynamical processes necessitates remote visualization and analysis as well as the associated transfer and storage of terabytes of time-dependent data. These simulations are distributed on a high-performance grid infrastructure using the application hosting environment; we employ a novel parallel in situ visualization approach which is particularly suited for such computations on petascale resources. We present computational and I/O performance benchmarks of our application on three different petascale systems.


Author(s):  
Jens Harting ◽  
Jonathan Chin ◽  
Maddalena Venturoli ◽  
Peter V Coveney

During the last 2.5 years, the RealityGrid project has allowed us to be one of the few scientific groups involved in the development of computational Grids. Since smoothly working production Grids are not yet available, we have been able to substantially influence the direction of software and Grid deployment within the project. In this paper, we review our results from large-scale three-dimensional lattice Boltzmann simulations performed over the last 2.5 years. We describe how the proactive use of computational steering, and advanced job migration and visualization techniques enabled us to do our scientific work more efficiently. The projects reported on in this paper are studies of complex fluid flows under shear or in porous media, as well as large-scale parameter searches, and studies of the self-organization of liquid cubic mesophases.


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