Toward exascale design of soft mesoscale materials
暂无分享,去创建一个
Adriano Tiribocchi | Andrea Montessori | Giorgio Amati | Marco Lauricella | Sauro Succi | Fabio Bonaccorso | M. Bernaschi | S. Succi | F. Bonaccorso | M. Bernaschi | M. Lauricella | A. Montessori | G. Amati | A. Tiribocchi
[1] Sauro Succi,et al. Lattice Boltzmann Methods for Multiphase Flow Simulations across Scales , 2011 .
[2] S. Melchionna,et al. Curvature dynamics and long-range effects on fluid-fluid interfaces with colloids. , 2019, Soft matter.
[3] Massimo Bernaschi,et al. Towards Exascale Lattice Boltzmann computing , 2019, Computers & Fluids.
[4] Samuel Williams,et al. Roofline: an insightful visual performance model for multicore architectures , 2009, CACM.
[5] Ulf D. Schiller,et al. Mesoscopic modelling and simulation of soft matter. , 2017, Soft matter.
[6] E Weinan,et al. Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation , 2018, Physical Review Materials.
[7] I. Tiselj,et al. Lattice Boltzmann Method , 2022, Advanced Computational Techniques for Heat and Mass Transfer in Food Processing.
[8] R. Mezzenga,et al. Understanding foods as soft materials , 2005, Nature materials.
[9] Massimo Bernaschi,et al. LBsoft: A parallel open-source software for simulation of colloidal systems , 2020, Comput. Phys. Commun..
[10] Philippe Marmottant,et al. Microfluidics with foams , 2009 .
[11] R. Bar-Ziv,et al. The physics of 2D microfluidic droplet ensembles , 2012 .
[12] Sauro Succi,et al. Boundary Conditions for Thermal Lattice Boltzmann Simulations , 2003, International Conference on Computational Science.
[13] A. Ladd,et al. Lubrication corrections for lattice-Boltzmann simulations of particle suspensions. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] Eric Dickinson,et al. Double Emulsions Relevant to Food Systems: Preparation, Stability, and Applications. , 2017, Comprehensive reviews in food science and food safety.
[15] Roberto Piazza,et al. Soft Matter: The stuff that dreams are made of , 2011 .
[16] Philippe Marmottant,et al. Microfluidic crystals: dynamic interplay between rearrangement waves and flow. , 2009, Physical review letters.
[17] Sauro Succi,et al. Big data: the end of the scientific method? , 2018, Philosophical Transactions of the Royal Society A.
[18] Giacomo Falcucci,et al. Lattice Boltzmann Modeling of Complex Flows for Engineering Applications , 2018 .
[19] Matej Praprotnik,et al. Adaptive resolution scheme for efficient hybrid atomistic-mesoscale molecular dynamics simulations of dense liquids. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[20] Miriam Mehl,et al. TOWARDS LATTICE-BOLTZMANN ON DYNAMICALLY ADAPTIVE GRIDS — MINIMALLY-INVASIVE GRID EXCHANGE IN ESPRESSO , 2016 .
[21] M. Mehl,et al. Adaptive grid implementation for parallel continuum mechanics methods in particle simulations , 2019, The European Physical Journal Special Topics.
[22] Nicholas Kevlahan,et al. Principles of Multiscale Modeling , 2012 .
[23] William Smith,et al. Molecular dynamics on hypercube parallel computers , 1991 .
[24] M. P. Brenner,et al. Perspective on machine learning for advancing fluid mechanics , 2019, Physical Review Fluids.
[25] S. Succi. The Lattice Boltzmann Equation , 2018, Oxford Scholarship Online.
[26] Rs Cant,et al. An Introduction to Turbulent Reacting Flows , 2007 .
[27] R. Winkler,et al. Multi-Particle Collision Dynamics -- a Particle-Based Mesoscale Simulation Approach to the Hydrodynamics of Complex Fluids , 2008, 0808.2157.
[28] Z. Feng,et al. The immersed boundary-lattice Boltzmann method for solving fluid-particles interaction problems , 2004 .
[29] Franck Cappello,et al. Addressing failures in exascale computing , 2014, Int. J. High Perform. Comput. Appl..
[30] RESEARCH NOTE An improved leap-frog rotational algorithm , 1997 .
[31] Sidney Yip,et al. Multiscale materials modelling at the mesoscale. , 2013, Nature materials.
[32] B. Chopard,et al. Theory and applications of an alternative lattice Boltzmann grid refinement algorithm. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[33] A. Abate,et al. High-order multiple emulsions formed in poly(dimethylsiloxane) microfluidics. , 2009, Small.
[34] Orestis Malaspinas,et al. Generalized three-dimensional lattice Boltzmann color-gradient method for immiscible two-phase pore-scale imbibition and drainage in porous media. , 2017, Physical review. E.
[35] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[36] William Smith,et al. Molecular dynamics on distributed memory (MIMD) parallel computers , 1993 .
[37] A. Ladd. Numerical simulations of particulate suspensions via a discretized Boltzmann equation. Part 2. Numerical results , 1993, Journal of Fluid Mechanics.
[38] Orestis Malaspinas,et al. Advances in multi-domain lattice Boltzmann grid refinement , 2012, J. Comput. Phys..
[39] I. Pagonabarraga,et al. Colloidal Jamming at Interfaces: A Route to Fluid-Bicontinuous Gels , 2005, Science.
[40] Dmitri Rozmanov,et al. Robust rotational-velocity-Verlet integration methods. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[41] Dana Petcu,et al. Exascale Machines Require New Programming Paradigms and Runtimes , 2015, Supercomput. Front. Innov..
[42] P. Protopapas,et al. Neural network models for the anisotropic Reynolds stress tensor in turbulent channel flow , 2019, 1909.03591.
[43] Jens Harting,et al. Effects of nanoparticles and surfactant on droplets in shear flow , 2012, 1201.6562.
[44] Guangwen Yang,et al. SunwayLB: Enabling Extreme-Scale Lattice Boltzmann Method Based Computing Fluid Dynamics Simulations on Sunway TaihuLight , 2019, 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
[45] J. Q. Broughton,et al. Concurrent coupling of length scales: Methodology and application , 1999 .
[46] Hiroshi Noguchi,et al. Particle-based mesoscale hydrodynamic techniques , 2006, cond-mat/0610890.
[47] S. Succi,et al. Lattice Boltzmann across scales: from turbulence to DNA translocation , 2008 .
[48] Piotr Garstecki,et al. Flowing crystals: nonequilibrium structure of foam. , 2006, Physical review letters.
[49] Juan J de Pablo,et al. Coarse-Grained Simulations of Macromolecules : From DNA to Nanocomposites , 2013 .
[50] W. Świȩszkowski,et al. Highly ordered and tunable polyHIPEs by using microfluidics. , 2014, Journal of materials chemistry. B.
[51] Erlend Magnus Viggen,et al. The Lattice Boltzmann Method , 2017 .
[52] A. Ladd. Numerical simulations of particulate suspensions via a discretized Boltzmann equation. Part 1. Theoretical foundation , 1993, Journal of Fluid Mechanics.
[53] Stephan Hoyer,et al. Learning data-driven discretizations for partial differential equations , 2018, Proceedings of the National Academy of Sciences.
[54] O. Filippova,et al. Grid Refinement for Lattice-BGK Models , 1998 .
[55] Michele Parrinello,et al. Generalized neural-network representation of high-dimensional potential-energy surfaces. , 2007, Physical review letters.
[56] S. Melchionna,et al. Mesoscopic simulations at the physics-chemistry-biology interface , 2019, Reviews of Modern Physics.
[57] S. Succi,et al. Mesoscale modelling of near-contact interactions for complex flowing interfaces , 2019, Journal of Fluid Mechanics.
[58] Sauro Succi,et al. On the effects of surface corrugation on the hydrodynamic performance of cylindrical rigid structures , 2018, The European physical journal. E, Soft matter.
[59] Mohamed Daoud,et al. Soft Matter Physics , 1999 .
[60] Shan,et al. Lattice Boltzmann model for simulating flows with multiple phases and components. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[61] Sauro Succi,et al. Lattice Boltzmann 2038 , 2015 .
[62] Naftali Tishby,et al. Machine learning and the physical sciences , 2019, Reviews of Modern Physics.
[63] Sauro Succi,et al. Modeling pattern formation in soft flowing crystals , 2020, Physical Review Fluids.
[64] Michael Levitt,et al. Birth and future of multiscale modeling for macromolecular systems (Nobel Lecture). , 2014, Angewandte Chemie.