Publications
The article describing Palabos can be found here.
The following PhD theses, Master's thesis, and journal publication cite the use of Palabos in their research.
Theses
[1] M. Ben Belgacem, Distributed and multiscale computing for scientific applications, University of Geneva, 2015.
[2] F. Brogi, The lattice Boltzmann method for the study of volcano aeroacoustic source processes, PhD Thesis, Université de Genève, 2017.
[3] S.-G. Cai, Computational fluid-structure interaction with the moving immersed boundary method, PhD Thesis, Université de Technologie de Compiègne, 2016.
[4] L. Chi, Interpretation of Nuclear Magnetic Resonance Measurements in Formations with Complex Pore Structure, PhD Thesis, 2015.
[5] W. Degruyter, Investigating volcanic eruptions of silicic magmas using 3D textural analysis and computational fluid dynamics, PhD Thesis, University of Geneva, 2010.
[6] G. Garapic, Constraints on melt migration in the Earth’s upper mantle, PhD Thesis, 2013.
[7] M. K. Ikeda, A novel multiple-phase, multiple-component, thermal lattice Boltzmann model, PhD Thesis, University of Pittsburgh, 2013.
[8] G. Izquierdo Bouldstridge, Apprasial of flow simulation by the Lattice Boltzmann Method, Master’s Thesis, Universitat Politècnica de Catalunya, 2017.
[9] A. A. Kanoria, Lattice Boltzmann method for applied aerodynamics problems, PhD Thesis, Indian Institute of Technology Gandhinagar, 2015.
[10] A. B. Krogvig, Aeroacoustics in a flow pipe with a small, variable-length cavity, Master’s Thesis, Institutt for elektronikk og telekommunikasjon, 2012.
[11] D. W. Lagrava Sandoval, Revisiting grid refinement algorithms for the lattice Boltzmann method, PhD Thesis, University of Geneva, 2012.
[12] C. J. Landry, Pore-scale imaging and lattice Boltzmann modeling of single-and multi-phase flow in fractured and mixed-wet permeable media, PhD Thesis, Pennsylvania State University, 2013.
[13] S. Li, Continuum model for flow diverting stents of intracranial aneurysms, PhD Thesis, Université de Genève, 2019.
[14] W. Lubowicz, Influence of electrical effects on the deposition of aerosol particles in fibrous fileters, PhD Thesis, Katedra Inżynierii Procesów Zintegrowanych, 2013.
[15] O. Malaspinas, Lattice Boltzmann method for the simulation of viscoelastic fluid flows, PhD Thesis, Ecole Polytechnique de Lausanne, Lausanne, Switzerland, 2009.
[16] R. Mandzhieva, Introduction to digital core analysis: 3D reconstruction, numerical flow simulations and pore network modeling, Master’s Thesis, NTNU, 2017.
[17] O. Marcou, Modélisation et contrôle d’écoulements à surface libre par la méthode de Boltzmann sur réseau, University of Geneva, 2010.
[18] X. Meyer, Breaking computational barriers : application of computational science on high performance computers, University of Geneva, 2016.
[19] J. A. S. Munoz, Numerical Simulation of a Flag behind a Flat Plate in a Uniform Flow, PhD Thesis, The University of Manchester, United Kingdom, 2019.
[20] M. Neveu, Vérification de la méthode de Boltzmann sur réseau en vue de calculer la perméabilité de milieux poreux, PhD Thesis, École Polytechnique de Montréal, 2017.
[21] J. N. Ortiz, Computational Studies of the Effect of Nanofillers on Polymeric Matrices, PhD Thesis, The Graduate School, Stony Brook University, Stony Brook, NY, 2015.
[22] A. Parmigiani, Lattice Boltzmann calculations of reactive multiphase flows in porous media, University of Geneva, 2011.
[23] J. Pellegrino, Investigation of Factors that Control Droplet Formation in Microfluidic Cross-Junctions Using the Lattice Boltzmann Method, PhD Thesis, The Graduate School, Stony Brook University, Stony Brook, NY, 2012.
[24] S. Perkins, Field D* pathfinding in weighted simplicial complexes, PhD Thesis, University of Cape Town, 2013.
[25] J. Prieto, G. Da Costa, A. Oleksiak, and M. Jarus, CoolEmAll D5. 4 Energy and Heat-aware classification of application, PhD Thesis, IRIT-Institut de recherche en informatique de Toulouse, 2013.
[26] C. Prohm, Control of inertial microfluidics, PhD Thesis, Technische Universität Berlin, 2014.
[27] J. Qi, Efficient Lattice Boltzmann Simulations on Large Scale High Performance Computing Systems, PhD Thesis, Universitätsbibliothek der RWTH Aachen, 2017.
[28] A. Shaaban, Sound Generation By Flow Over Multiple Shallow Cavities, PhD Thesis, 2018.
[29] S. Sohrabi, Multiscale Modeling of Biological Flow using Lattice Boltzmann Method, PhD Thesis, Lehigh University, 2017.
[30] M. Specklin, On the assessment of immersed boundary methods for fluid-structure interaction modelling: application to waste water pumps design and the inherent clogging issues, PhD Thesis, Dublin City University, 2018.
[31] N. Sun, Application of Lattice Boltzmann Methods in Complex Mass Transfer Systems, PhD Thesis, The Graduate School, Stony Brook University, Stony Brook, NY, 2016.
[32] A. O. Tokan-Lawal, Understanding fluid flow in rough-walled fractures using x-ray microtomography images, PhD Thesis, 2015.
[33] B. J. Tripp and others, Dependence of transport properties on grain size distribution, PhD Thesis, 2016.
[34] A. Zadehgol, Introducing a new and entropic kinetic model for simulating incompressible viscous flows, PhD Thesis, Isfahan University of Technology, 2015.
Articles
[1] A. Abas, M. Abdullah, M. Ishak, N. As, and S. Khor, Lattice Boltzmann and finite volume simulations of multiphase flow in BGA encapsulation process, J Eng Appl Sci, vol. 10, no. 17, pp. 7354–60, 2015.
[2] A. Abas, Z. Gan, M. Ishak, M. Abdullah, and S. F. Khor, Lattice Boltzmann method of different BGA orientations on I-type dispensing method, PloS one, vol. 11, no. 7, p. e0159357, 2016.
[3] A. Abas, M. H. H. Ishak, M. Z. Abdullah, F. C. Ani, and S. F. Khor, Lattice Boltzmann method study of bga bump arrangements on void formation, Microelectronics Reliability, vol. 56, pp. 170–181, 2016.
[4] A. Abas, N. H. Mokhtar, M. H. H. Ishak, M. Z. Abdullah, and A. Ho Tian, Lattice Boltzmann model of 3D multiphase flow in artery bifurcation aneurysm problem, Computational and mathematical methods in medicine, vol. 2016, 2016.
[5] A. Abas, Z. Gan, M. Ishak, N. Nasip, and S. Khor, Lattice Boltzmann Study of Vortex Street in Pressurized Underfill Manufacturing Process, Journal of Industrial Engineering Research, vol. 1, no. 10, pp. 30–36, 2015.
[6] A. M. Afonso, Numerical Simulations of Complex Fluid-Flows at Microscale, in Complex Fluid-Flows in Microfluidics, Springer, 2018, pp. 73–94.
[7] Z. Ahmad, R. Singh, S. S. Bahga, and A. Gupta, Droplet Formation in a T-Junction Microfluidic Device in the Presence of an Electric Field, in ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels, San Francisco, California, USA, 2015, p. V001T04A005.
[8] K. Aliakbar, R. M. Reza, V. Ali, S. S. Behnam, and M. Hamed, Investigating the pore-level heterogeneity pattern on non-Darcy flow using lattice Boltzmann method simulation, Journal of Porous Media, vol. 21, no. 8, 2018.
[9] S. Alowayyed et al., Patterns for high performance multiscale computing, Future Generation Computer Systems, vol. 91, pp. 335–346, 2019.
[10] S. Alowayyed, D. Groen, P. V. Coveney, and A. G. Hoekstra, Multiscale computing in the exascale era, Journal of Computational Science, vol. 22, pp. 15–25, 2017.
[11] S. Alowayyed, G. Závodszky, V. Azizi, and A. G. Hoekstra, Load balancing of parallel cell-based blood flow simulations, Journal of computational science, vol. 24, pp. 1–7, 2018.
[12] M. Amielh et al., Aeroacoustic source analysis in a corrugated flow pipe using low-frequency mitigation, Journal of Turbulence, vol. 15, no. 10, pp. 650–676, 2014.
[13] S. Anbar, K. E. Thompson, and M. Tyagi, The Impact of Compaction and Sand Migration on Permeability and Non-Darcy Coefficient from Pore-Scale Simulations, Transport in Porous Media, vol. 127, no. 2, pp. 247–267, 2019.
[14] M. Andersson, H. Paradis, J. Yuan, and B. Sundén, 3D Modeling of an Anode Supported SOFC Using FEM and LBM, in ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2013 Heat Transfer Summer Conference and the ASME 2013 7th International Conference on Energy Sustainability, 2013, p. V001T02A001–V001T02A001.
[15] A. Anissofira and F. D. Latief, Permeability estimation of crack type and granular type of pore space in a geothermal reservoir using lattice boltzmann method and Kozeny-Carman relation, in Proceedings World Geothermal Congress 2015, Melbourne, 2015.
[16] H. Anzai, B. Chopard, and M. Ohta, Combinational optimization of strut placement for intracranial stent using a realistic aneurysm, Journal of Flow Control, Measurement & Visualization, vol. 2, no. 02, p. 67, 2014.
[17] H. Anzai, J.-L. Falcone, B. Chopard, T. Hayase, and M. Ohta, Optimization of strut placement in flow diverter stents for four different aneurysm configurations, Journal of biomechanical engineering, vol. 136, no. 6, p. 061006, 2014.
[18] H. Anzai, M. Ohta, J.-L. Falcone, and B. Chopard, Optimization of flow diverters for cerebral aneurysms, Journal of Computational Science, vol. 3, no. 1–2, pp. 1–7, 2012.
[19] R. Archer, An Exploration of Porosity-permeability Relationships in 3D Fracture Network Using the Lattice-Boltzmann Method, in ECMOR XIV-14th European Conference on the Mathematics of Oil Recovery, 2014.
[20] R. Askari, M. Ikram, and S. Hejazi, Pore scale evaluation of thermal conduction anisotropy in granular porous media using Lattice Boltzmann method, International Journal of Numerical Methods for Heat & Fluid Flow, vol. 27, no. 4, pp. 867–888, 2017.
[21] A. Avramenko, Y. Y. Kovetska, I. Shevchuk, A. Tyrinov, and V. Shevchuk, Mixed Convection in Vertical Flat and Circular Porous Microchannels, Transport in Porous Media, vol. 124, no. 3, pp. 919–941, 2018.
[22] A. A. Avramenko, I. V. Shevchuk, and A. V. Kravchuk, Turbulent incompressible microflow between rotating parallel plates, European Journal of Mechanics-B/Fluids, vol. 71, pp. 35–46, 2018.
[23] V. Balashov, Direct Simulation of Moderately Rarefied Gas Flows in Two-Dimensional Model Porous Media, Mathematical Models and Computer Simulations, vol. 10, no. 4, pp. 483–493, 2018.
[24] V. Balashov and E. Savenkov, Direct pore-scale flow simulation using quasi-hydrodynamic equations, in Doklady Physics, 2016, vol. 61, pp. 192–194.
[25] V. Balashov, E. Savenkov, and A. Kuleshov, Direct numerical simulation of a fluid flow in core samples based on quasi-hydrodynamic equations, vol. 1790. AIP Publishing, 2016.
[26] V. Balashov and E. Savenkov, Direct Numerical Simulation of Single and Two-Phase Flows at Pore-Scale, in Physical and Mathematical Modeling of Earth and Environment Processes (2018), Springer, 2019, pp. 374–379.
[27] M. B. Belgacem and B. Chopard, A hybrid HPC/cloud distributed infrastructure: Coupling EC2 cloud resources with HPC clusters to run large tightly coupled multiscale applications, Future Generation Computer Systems, vol. 42, pp. 11–21, 2015.
[28] M. B. Belgacem and B. Chopard, MUSCLE-HPC: a new high performance API to couple multiscale parallel applications, Future Generation Computer Systems, vol. 67, pp. 72–82, 2017.
[29] M. B. Belgacem, B. Chopard, J. Borgdorff, M. Mamoński, K. Rycerz, and D. Harezlak, Distributed multiscale computations using the MAPPER framework, Procedia Computer Science, vol. 18, pp. 1106–1115, 2013.
[30] M. B. Belgacem, B. Chopard, J. Latt, and A. Parmigiani, A Framework for Building a Network of Irrigation Canals On a Distributed Computing Environment: A Case Study., Journal of Cellular Automata, vol. 9, 2014.
[31] M. B. Belgacem, B. Chopard, J. Latt, and A. Parmigiani, A Framework for Building a Network of Irrigation Canals On a Distributed Computing Environment: A Case Study., Journal of Cellular Automata, vol. 9, 2014.
[32] M. B. Belgacem, B. Chopard, and A. Parmigiani, Coupling method for building a network of irrigation canals on a distributed computing environment, in International Conference on Cellular Automata, 2012, pp. 309–318.
[33] J. Beny and J. Latt, Efficient LBM on GPUs for dense moving objects using immersed boundary condition, in CILAMCE 2018 Proceedings of XXXIX Ibero-Latin American Congress on Computational Methods in Engineering, 2018.
[34] P. Berghout and H. E. Van den Akker, Simulating drop formation at an aperture by means of a Multi-Component Pseudo-Potential Lattice Boltzmann model, International Journal of Heat and Fluid Flow, vol. 75, pp. 153–164, 2019.
[35] M. Bhamjee, S. Connell, and A. L. Nel, An investigation into the applicability of the Lattice Boltzmann method to modelling of the flow in a hydrocyclone, 2014.
[36] J. Bielecki et al., Preliminary Investigations of Elemental Content, Microporosity, and Specific Surface Area of Porous Rocks Using PIXE and X-ray Microtomography Techniques., Acta Physica Polonica, A., vol. 121, no. 2, 2012.
[37] J. Bielecki, J. Jarzyna, S. Bożek, J. Lekki, Z. Stachura, and W. Kwiatek, Computed microtomography and numerical study of porous rock samples, Radiation Physics and Chemistry, vol. 93, pp. 59–66, 2013.
[38] J. Borgdorff et al., A distributed multiscale computation of a tightly coupled model using the multiscale modeling language, Procedia Computer Science, vol. 9, pp. 596–605, 2012.
[39] J. Borgdorff, J.-L. Falcone, E. Lorenz, C. Bona-Casas, B. Chopard, and A. G. Hoekstra, Foundations of distributed multiscale computing: Formalization, specification, and analysis, Journal of Parallel and Distributed Computing, vol. 73, no. 4, pp. 465–483, 2013.
[40] J. Borgdorff et al., Distributed multiscale computing with MUSCLE 2, the multiscale coupling library and environment, Journal of Computational Science, vol. 5, no. 5, pp. 719–731, 2014.
[41] A. T. Borujeni, Effects of Variations of Stress-Dependent Hydraulic Properties of Proppant Packs on the Productivity Indices of the Hydraulically Fractured Shale Gas Reservoirs, in Unconventional Resources Technology Conference, Denver, Colorado, 25-27 August 2014, 2014, pp. 1675–1683.
[42] A. T. Borujeni, N. Lane, K. Thompson, and M. Tyagi, Effects of image resolution and numerical resolution on computed permeability of consolidated packing using LB and FEM pore-scale simulations, Computers & Fluids, vol. 88, pp. 753–763, 2013.
[43] V. Boyd et al., Influence of Mg2+ on CaCO3 precipitation during subsurface reactive transport in a homogeneous silicon-etched pore network, Geochimica et Cosmochimica Acta, vol. 135, pp. 321–335, 2014.
[44] F. Brogi et al., Development and validation of a 3D Lattice Boltzmann model for volcano aeroacoustics, in EGU General Assembly Conference Abstracts, 2015, vol. 17.
[45] F. Brogi, O. Malaspinas, B. Chopard, and C. Bondadonna, Hermite regularization of the lattice Boltzmann method for open source computational aeroacoustics, The Journal of the Acoustical Society of America, vol. 142, no. 4, pp. 2332–2345, 2017.
[46] V. N. Burganos, E. D. Skouras, and A. N. Kalarakis, An integrated simulator of structure and anisotropic flow in gas diffusion layers with hydrophobic additives, Journal of Power Sources, vol. 365, pp. 179–189, 2017.
[47] A. Burgisser, L. Chevalier, J. E. Gardner, and J. M. Castro, The percolation threshold and permeability evolution of ascending magmas, Earth and Planetary Science Letters, vol. 470, pp. 37–47, 2017.
[48] C. Chantrapornchai and P. Uthayopas, A road to student cluster competition for Thailand, in 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2016, pp. 1–6.
[49] M. Chaparro and M. Saaltink, REACTIVE TRANSPORT AND TRITIUM TRANSPORT MODELS IN CONCRETE CELLS FOR STORING RADIOACTIVE WASTE, Mechanisms and Modelling of Waste, vol. 83, p. 19, 2017.
[50] B. Chareyre, C. Yuan, E. P. Montella, and S. Salager, Toward multiscale modelings of grain-fluid systems, in EPJ Web of Conferences, 2017, vol. 140, p. 09027.
[51] R. Chassagne, F. Dörfler, and M. Guyenot, Modeling of the HPC infiltration process by means of the lattice Boltzmann method, in 2016 17th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 2016, pp. 1–4.
[52] R. Chassagne, F. Dörfler, M. Guyenot, and J. Harting, Modeling of capillary-driven flows in axisymmetric geometries, Computers & Fluids, vol. 178, pp. 132–140, 2019.
[53] H. Chen and Z. Chen, Lattice Boltzmann modeling of two-phase flows in complex porous media considering surface hydrophobicity, Applied Mechanics and Civil Engineering VI, p. 167, 2017.
[54] L. Chen, H. Cui, and L. Wang, Modified ghost fluid method on LBM with reduced spurious pressure oscillations for moving boundaries, International Journal of Modern Physics C, vol. 28, no. 04, p. 1750056, 2017.
[55] L. Chen, Y. Yu, and G. Hou, Sharp-interface immersed boundary lattice Boltzmann method with reduced spurious-pressure oscillations for moving boundaries, Physical Review E, vol. 87, no. 5, p. 053306, 2013.
[56] L. Chen, H. Zhu, and H. Cui, A study of the Brownian motion of the non-spherical microparticles on fluctuating lattice Boltzmann method, Microfluidics and Nanofluidics, vol. 21, no. 3, p. 54, 2017.
[57] X.-P. Chen, Applications of lattice Boltzmann method to turbulent flow around two-dimensional airfoil, Engineering Applications of Computational Fluid Mechanics, vol. 6, no. 4, pp. 572–580, 2012.
[58] X. Chen, R. Verma, D. N. Espinoza, and M. Prodanović, Pore-Scale Determination of Gas Relative Permeability in Hydrate-Bearing Sediments Using X-Ray Computed Micro-Tomography and Lattice Boltzmann Method, Water Resources Research, vol. 54, no. 1, pp. 600–608, 2018.
[59] L. Cheng, G. Rong, J. Yang, and C. Zhou, Fluid flow through single fractures with directional shear dislocations, Transport in Porous Media, vol. 118, no. 2, pp. 301–326, 2017.
[60] L. Chi and Z. Heidari, Impact of Fracture-Pore Diffusional Coupling on NMR-based Permeability Assessment, in SPWLA 56th Annual Logging Symposium, 2015.
[61] L. Chi and Z. Heidari, Directional-Permeability Assessment in Formations With Complex Pore Geometry With a New Nuclear-Magnetic-Resonance-Based Permeability Model, SPE Journal, vol. 21, no. 04, pp. 1–436, 2016.
[62] L. Chi, Z. Heidari, and others, Directional permeability assessment in formations with complex pore geometry using a new NMR-based permeability model, in SPWLA 55th Annual Logging Symposium, 2014.
[63] B. Chopard et al., A lattice Boltzmann modeling of bloodflow in cerebral aneurysms, in V Eur Conf Comput Fluid Dyn ECCOMAS CFD, 2010, vol. 453, p. 12.
[64] B. Chopard et al., A lattice Boltzmann modeling of bloodflow in cerebral aneurysms, in V Eur Conf Comput Fluid Dyn ECCOMAS CFD, 2010, vol. 453, p. 12.
[65] G. Coelho, Y. Branquet, S. Sizaret, L. Arbaret, R. Champallier, and O. Rozenbaum, Permeability of sheeted dykes beneath oceanic ridges: Strain experiments coupled with 3D numerical modeling of the Troodos Ophiolite, Cyprus, Tectonophysics, vol. 644, pp. 138–150, 2015.
[66] G. Courbebaisse, J. Latt, O. Malaspinas, M. Orkirz, and B. Chopard, Blood flow simulation within Stented Intracranial Aneurysm, in Ninth International Conference on Flow Dynamics (ICFD) 2012, 2012.
[67] T. A. Cousins, B. Ghanbarian, and H. Daigle, Three-Dimensional Lattice Boltzmann Simulations of Single-Phase Permeability in Random Fractal Porous Media with Rough Pore–Solid Interface, Transport in Porous Media, vol. 122, no. 3, pp. 527–546, 2018.
[68] A. Cubeddu, C. Rauh, and V. Ulrich, Simulations of bubble growth and interaction in high viscous fluids using the lattice Boltzmann method, International Journal of Multiphase Flow, vol. 93, pp. 108–114, 2017.
[69] H. Daigle and J. S. Reece, Permeability of two-component granular materials, Transport in Porous Media, vol. 106, no. 3, pp. 523–544, 2015.
[70] M. de Haan, G. Zavodszky, V. Azizi, and A. Hoekstra, Numerical investigation of the effects of red blood cell cytoplasmic viscosity contrasts on single cell and bulk transport behaviour, Applied Sciences, vol. 8, no. 9, p. 1616, 2018.
[71] W. Degruyter, A. Burgisser, O. Bachmann, and O. Malaspinas, Synchrotron X-ray microtomography and lattice Boltzmann simulations of gas flow through volcanic pumices, Geosphere, vol. 6, no. 5, pp. 470–481, 2010.
[72] W. Degruyter, A. Parmigiani, C. Huber, and O. Bachmann, How do volatiles escape their shallow magmatic hearth?, Philosophical Transactions of the Royal Society A, vol. 377, no. 2139, p. 20180017, 2019.
[73] P. R. Di Palma, N. Guyennon, A. Parmigiani, C. Huber, F. Heβe, and E. Romano, Impact of Synthetic Porous Medium Geometric Properties on Solute Transport Using Direct 3D Pore-Scale Simulations, Geofluids, vol. 2019, 2019.
[74] P. Di Palma, N. Guyennon, F. He\s se, and E. Romano, Porous media flux sensitivity to pore-scale geostatistics: A bottom-up approach, Advances in water resources, vol. 102, pp. 99–110, 2017.
[75] W.-T. Ding and W.-J. Xu, Study on the multiphase fluid-solid interaction in granular materials based on an LBM-DEM coupled method, Powder technology, vol. 335, pp. 301–314, 2018.
[76] F. Dolamore, C. Fee, and S. Dimartino, Modelling ordered packed beds of spheres: The importance of bed orientation and the influence of tortuosity on dispersion, Journal of Chromatography A, vol. 1532, pp. 150–160, 2018.
[77] J. Domitner et al., 3D simulation of interdendritic flow through a Al-18wt.% Cu structure captured with X-ray microtomography, in IOP Conference Series: Materials Science and Engineering, 2012, vol. 27, p. 012016.
[78] Y. Du, Scaling applications from six application domains on Tianhe-2, WELCOME TO EEMD 2015, p. 35, 2015.
[79] A. Duda, Z. Koza, and M. Matyka, Hydraulic tortuosity in arbitrary porous media flow, Physical Review E, vol. 84, no. 3, p. 036319, 2011.
[80] El Hannach Mohamed and E. Kjeang, Stochastic microstructural modeling of PEFC gas diffusion media, Journal of The Electrochemical Society, vol. 161, no. 9, pp. F951–F960, 2014.
[81] L. Flórez-Valencia et al., Virtual deployment of pipeline flow diverters in cerebral vessels with aneurysms to understand thrombosis, in MICCAI-STENT’12 The 1st International MICCAI-Workshop on Computer Assisted Stenting, 2012, p. 49.
[82] D. Froning, J. Brinkmann, U. Reimer, V. Schmidt, W. Lehnert, and D. Stolten, 3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method, Electrochimica Acta, vol. 110, pp. 325–334, Nov. 2013.
[83] D. Froning et al., Impact of compression on gas transport in non-woven gas diffusion layers of high temperature polymer electrolyte fuel cells, Journal of Power Sources, vol. 318, pp. 26–34, 2016.
[84] Y. Fu, F. Li, F. Song, and L. Zhu, Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems, in 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2018, pp. 97–106.
[85] G. Galeron, D. Mazzoni, M. Amielh, P. O. Mattei, and F. Anselmet, Experimental and numerical investigations of the aeroacoustics in a corrugated pipe flow, in Turbulence and Interactions, 2015, pp. 149–156.
[86] G. Garapic and U. Faul, Permeability of Partially Molten Rocks from Lattice-Boltzmann Modeling, in AGU Fall Meeting Abstracts, 2013.
[87] P. A. García-Salaberri, J. T. Gostick, G. Hwang, A. Z. Weber, and M. Vera, Effective diffusivity in partially-saturated carbon-fiber gas diffusion layers: Effect of local saturation and application to macroscopic continuum models, Journal of Power Sources, vol. 296, pp. 440–453, 2015.
[88] P. A. García-Salaberri, J. T. Gostick, I. V. Zenyuk, G. Hwang, M. Vera, and A. Z. Weber, On the limitations of volume-averaged descriptions of gas diffusion layers in the modeling of polymer electrolyte fuel cells, ECS Transactions, vol. 80, no. 8, pp. 133–143, 2017.
[89] P. A. García-Salaberri et al., Analysis of representative elementary volume and through-plane regional characteristics of carbon-fiber papers: diffusivity, permeability and electrical/thermal conductivity, International Journal of Heat and Mass Transfer, vol. 127, pp. 687–703, 2018.
[90] S. Geiger, K. S. Schmid, and Y. Zaretskiy, Mathematical analysis and numerical simulation of multi-phase multi-component flow in heterogeneous porous media, Current Opinion in Colloid & Interface Science, vol. 17, no. 3, pp. 147–155, 2012.
[91] B. Ghanbarian and H. Daigle, Permeability in two-component porous media: Effective-medium approximation compared with lattice-Boltzmann simulations, Vadose Zone Journal, vol. 15, no. 2, 2016.
[92] S. Ghanbarzadeh, M. Hesse, M. Prodanovic, and J. Gardner, Effect of Dihedral Angle and Porosity on Percolating-Sealing Capacity of Texturally Equilibrated Rock Salt, in AGU Fall Meeting Abstracts, 2013.
[93] R. Giro, P. W. Bryant, M. B. Steiner, R. R. Del Grande, C. F. Feger, and M. Engel, Multi-scale modeling of wetting: effects of surface roughness, in Iberian Latin American congress on computational methods in engineering, 2014.
[94] P. Gniewek and O. Hallatschek, Fluid flow through packings of elastic shells, Physical Review E, vol. 99, no. 2, p. 023103, 2019.
[95] R. Gomila, G. Arancibia, D. Mery, M. Nehler, R. Bracke, and D. Morata, Palaeopermeability anisotropy and geometrical properties of sealed-microfractures from micro-CT analyses: An open-source implementation, Micron, vol. 117, pp. 29–39, 2019.
[96] J. T. Gostick, P. A. García-Salaberri, G. Hwang, M. Vera, and A. Z. Weber, On the Mass-Transfer Properties of Partially-Saturated Carbon-Paper Gas Diffusion Layers: Global Vs. Local Effective Diffusivity, in Meeting Abstracts, 2015, pp. 74–74.
[97] N. Gourdain, T. Jardin, R. Serre, S. Prothin, and J.-M. Moschetta, Application of a lattice Boltzmann method to some challenges related to micro-air vehicles, International Journal of Micro Air Vehicles, vol. 10, no. 3, pp. 285–299, 2018.
[98] N. Gourdain, D. Singh, T. Jardin, and S. Prothin, Analysis of the turbulent wake generated by a micro air vehicle hovering near the ground with a lattice boltzmann method, Journal of the American Helicopter Society, vol. 62, no. 4, pp. 1–12, 2017.
[99] D. Groen et al., Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations, Interface Focus, vol. 3, no. 2, p. 20120087, 2013.
[100] D. Groen, J. Hetherington, H. B. Carver, R. W. Nash, M. O. Bernabeu, and P. V. Coveney, Analysing and modelling the performance of the HemeLB lattice-Boltzmann simulation environment, Journal of Computational Science, vol. 4, no. 5, pp. 412–422, 2013.
[101] D. Hamane, O. Guerri, and S. Larbi, Investigation of flow around a circular cylinder in laminar and turbulent flow using the Lattice Boltzmann method, in AIP Conference Proceedings, 2015, vol. 1648, p. 850094.
[102] M. Hasert et al., Complex fluid simulations with the parallel tree-based Lattice Boltzmann solver Musubi, Journal of Computational Science, vol. 5, no. 5, pp. 784–794, 2014.
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