Soft matter and biological systems pose many challenges for theoretical, experimental and computational research. From the computational point of view, these many-body sytems cover variations in relevant time and length scales over many orders of magnitude. Indeed, the macroscopic properties of materials and complex fluids are ultimately to be deduced from the dynamics of the microsopic, molecular level. In these lectures, internationally renowned experts offer a tutorial presentation of novel approaches for bridging these space and time scales in realistic simulations. This volume addresses graduate students and nonspecialist researchers from related areas seeking a high-level but accessible introduction to the state of the art in soft matter simulations.
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Soft matter and biological systems pose many challenges for theoretical, experimental and computational research. From the computational point of view, these many-body systems cover variations in relevant time and length scales over many orders of magnitude. Indeed, the macroscopic properties of materials and complex fluids are ultimately to be deduced from the dynamics of the microscopic, molecular level. In these lectures, internationally renowned experts, offer a tutorial presentation of novel approaches for bridging these space and time scales in realistic simulations. This volume addresses graduate students and nonspecialist researchers from related areas seeking a high-level but accessible introduction to the state of the art in soft matter simulations.
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Why Mesoscopic Simulation? Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
velocity decay time, renormalized model, soft matter systems, endpoint separation, dissipative particle dynamics, atomistic force fields, ideal polymer chain, dynamical invariants, collision matrix, mesoscopic model, hydrodynamic variables, inertial regime, counterion distribution, continuum equations, colloidal hydrodynamics, mesoscopic level, strong coupling theory, projection operator methods, high confinement, charge modulation, ideal chain, new length scale, solvent dynamics, viscous regime, metric factor Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Notes Phys, Fluid Mech, Fluid Fronts, New York, Brownian Dynamics, Statistical Mechanics of Coarse-Graining, Academic Press, Clarendon Press, Faraday Trans, Colloid Interface Sei, Fluid Mcch, Germany Abstract, Pcrgamon Press New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Why Mesoscopic Simulation? Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
velocity decay time, renormalized model, soft matter systems, endpoint separation, dissipative particle dynamics, atomistic force fields, ideal polymer chain, dynamical invariants, collision matrix, mesoscopic model, hydrodynamic variables, inertial regime, counterion distribution, continuum equations, colloidal hydrodynamics, mesoscopic level, strong coupling theory, projection operator methods, high confinement, charge modulation, ideal chain, new length scale, solvent dynamics, viscous regime, metric factor Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Notes Phys, Fluid Mech, Fluid Fronts, New York, Brownian Dynamics, Statistical Mechanics of Coarse-Graining, Academic Press, Clarendon Press, Faraday Trans, Colloid Interface Sei, Fluid Mcch, Germany Abstract, Pcrgamon Press New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
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- Fluid Mechanics, Second Edition: Volume 6 (Course of Theoretical Physics) by L D Landau on page 218, and Back Matter
- Handbook of Stochastic Methods: for Physics, Chemistry and the Natural Sciences (Springer Series in Synergetics) by Crispin Gardiner on page 114
- Statistical Mechanics by Donald Allan McQuarrie on page 325
- Molecular Dynamics (Lecture Notes in Physics) by William G. Hoover on page 160
- The Physics of the Early Universe (Lecture Notes in Physics) by Eleftherios Papantonopoulos in Back Matter
- Models for Polymeric and Anisotropic Liquids (Lecture Notes in Physics) by Martin Kröger in Back Matter
- Quantum State Estimation (Lecture Notes in Physics) by Matteo Paris in Back Matter
- The Hispalensis Lectures on Nuclear Physics, Vol. 2 (Lecture Notes in Physics) by Jose Miguel Arias in Back Matter
- Understanding Carbon Nanotubes: From Basics to Applications (Lecture Notes in Physics) by Annick Loiseau in Back Matter
See all 38 books citing this book
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