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Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena

Model reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom;

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Coarse-Graining of Condensed Phase and Biomolecular Systems

multiscale coarse-graining. The book also describes current coarse-grained model development for peptides and proteins at the amino acid level and;

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Multiscale Modeling

: multiscale modeling. A brilliant solution to a pervasive problem, Multiscale Modeling: From Atoms to Devices offers a number of approaches for;

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Materials with Internal Structure

of material science. The focus is on principles and strategies for multiscale modeling and simulation of complex heterogeneous materials, with;

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Materials with Internal Structure

of material science. The focus is on principles and strategies for multiscale modeling and simulation of complex heterogeneous materials, with;

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Macroscopic and Large Scale Phenomena Coarse Graining Mean Field Limits and Er

This book is the offspring of a summer school school Macroscopic and large scale phenomena: coarse graining, mean field limits and;

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Advances in Chemical Physics, Volume 149

The Advances in Chemical Physics Series provides the chemical physics field with a forum for critical, authoritative evaluations;

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Stochastic Dynamics of Crystal Defects

dislocation model that allows access to experimental time and length scales. Simulated trajectories are in excellent agreement with experiment. The;

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Coarse-Grained Modeling of Biomolecules

the physical foundations of coarse-graining Demonstrates use of models for large-scale assemblies in modern studies Garegin A;

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Coarse-Grained Modeling of Biomolecules

dynamics Gives the physical foundations of coarse-graining Demonstrates use of models for large-scale assemblies;

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Heat and Mass Transfer Modelling During Drying

for drying. Eventually, excess energy consumption is necessary to attain a low-quality dried product. Proper heat and mass transfer modelling;

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Multiscale Approaches to Protein Modeling

information for those who are already experts in the field of biomacromolecular modeling and in related areas of computational biology or biophysics.;

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Multiscale Approaches to Protein Modeling

information for those who are already experts in the field of biomacromolecular modeling and in related areas of computational biology or biophysics.;

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Coarse-Grained Modelling of DNA and DNA Self-Assembly

quantitatively reproduce many phenomena, including elastic properties of the double-stranded state, hairpin formation in single strands and hybridization;

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Chaos and Coarse Graining in Statistical Mechanics

concepts of chaotic dynamics are introduced, moving on to explore the role of ergodicity and chaos for the validity of statistical laws, and ending;

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Multiscale Molecular Methods in Applied Chemistry

to Modeling Aqueous Electrolytes and Polyelectrolytes, by L. Delle Site, C. Holm and N. F. A. van der Vegt.- Coarse-Grained Modeling for;

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Document Analysis And Recognition With Wavelet And Fractal Theories

representations for a variety of important phenomena in document analysis and understanding.This book presents both the development of these new;

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Coarse-to-Fine Natural Language Processing

models for natural language processing. Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the;

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Recrystallization Study of Aluminium Sheets

appearance and performance in drawing harmed by coarse graining. To optimize the process, it is necessary to improve the knowledge of the phenomena;

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Multiscale Materials Modeling

This book presents current spatial and temporal multiscaling approaches of materials modeling. Recent results demonstrate the deduction;

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Computational Materials Engineering

evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models;

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Ribosomes

. In this book, the authors present current research in the study of the molecular structure, biological functions and implications for genetic;

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Model Reduction of Complex Dynamical Systems

kernel-based methods; surrogate modeling for design and optimization, with special emphasis on control and data assimilation; model reduction;

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Interpolatory Methods for Model Reduction

Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for;

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Multiscale Modeling In Solid Mechanics

computational approaches. For the first time, contributions from both leading experts in the field and younger promising researchers are combined to;

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Multiscale Structural Topology Optimization

-based adaptive surrogate model for the RVE solutions at the microscopic scale and make a step further towards the design of multiscale;

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Backscattering From Multiscale Rough Surfaces With Applicati

information for those wanting to use backscattering models more efficiently.;

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