In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Università della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to link methodologies on different scales. Relevant examples of practical interest include: structural analysis of materials, flow through porous media, turbulent transport in high Reynolds number flows, large-scale molecular dynamic simulations, ab-initio physics and chemistry, and a multitude of others. Though multiple scale models are not new, the topic has recently taken on a new sense of urgency. A number of hybrid approaches are now created in which ideas coming from distinct disciplines or modelling approaches are unified to produce new and computationally efficient techniques.
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In recent years we have seen an explosive growth of activities in multiscale modeling and computation, with applications in many areas including material science, fluid mechanics, chemistry, and biology. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
heterogeneous multiscale method, macroscale solver, projective integration, leading partial dislocation, streaming velocity profiles, naphthalene plane, naphthalene cluster, aggregate particle size distributions, metastable sets, primary particle size distributions, interaction energy profile, dissipative particle dynamics, microscale model, dissociated dislocation, homogenized equation, continuum mechanics theory, slip length, free energy surface, transition pathways, homogenization problems, gas phase chemical reaction, homogeneous array, dipole pointing, multiscale methods, coexistence curve Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Delle Site, New York, Aerosol Sci, Kohn-Sham Hamiltonian, Princeton University, Colloid Interface Sci, Institute of Computational Science, Kurt Binder, Computational Laboratory, Urs Zimmerli, Cambridge University Press, Chemical Eng, Chemical Physics, Dissipative Particles, Huajian Gao, Massachusetts Institute of Technology, Michele Parrinello, Physics Letters, Van Vliet, Water Resour, World Scientific New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
In recent years we have seen an explosive growth of activities in multiscale modeling and computation, with applications in many areas including material science, fluid mechanics, chemistry, and biology. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
heterogeneous multiscale method, macroscale solver, projective integration, leading partial dislocation, streaming velocity profiles, naphthalene plane, naphthalene cluster, aggregate particle size distributions, metastable sets, primary particle size distributions, interaction energy profile, dissipative particle dynamics, microscale model, dissociated dislocation, homogenized equation, continuum mechanics theory, slip length, free energy surface, transition pathways, homogenization problems, gas phase chemical reaction, homogeneous array, dipole pointing, multiscale methods, coexistence curve Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Delle Site, New York, Aerosol Sci, Kohn-Sham Hamiltonian, Princeton University, Colloid Interface Sci, Institute of Computational Science, Kurt Binder, Computational Laboratory, Urs Zimmerli, Cambridge University Press, Chemical Eng, Chemical Physics, Dissipative Particles, Huajian Gao, Massachusetts Institute of Technology, Michele Parrinello, Physics Letters, Van Vliet, Water Resour, World Scientific New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 48
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- Computational Partial Differential Equations by Hans P. Langtangen in Back Matter (1), Back Matter (2), and Back Matter (3)
- Physical Chemistry: 18 by Annual Review on page 68
- Python Scripting for Computational Science (Texts in Computational Science and Engineering) by Hans Petter Langtangen in Back Matter
- Symplectic Geometry and Mathematical Physics (Progress in Mathematics) (French Edition) by P. Donato on page 255
- Numerical Methods in Computational Electrodynamics by Ursula van Rienen in Back Matter
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- Domain Decomposition Methods in Science and Engineering (Lecture Notes in Computational Science and Engineering) by Ralf Kornhuber in Back Matter
- QCD and Numerical Analysis III: Proceedings of the Third International Workshop on Numerical Analysis and Lattice QCD, Edinburgh, June-July 2003 ... Computational Science and Engineering) (v. 3) by Artan Boriçi in Back Matter
- Numerical Solution of Partial Differential Equations on Parallel Computers (Lecture Notes in Computational Science and Engineering) by Are Magnus Bruaset in Back Matter
- Python Scripting for Computational Science (Texts in Computational Science and Engineering) by Hans Petter Langtangen in Back Matter
- Meshfree Methods for Partial Differential Equations II (Lecture Notes in Computational Science and Engineering) (v. 2) by Michael Griebel in Back Matter
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