Titlebook: Computational Multiscale Modeling of Fluids and Solids; Theory and Applicati Martin Oliver Steinhauser Book 20081st edition Springer-Verlag

calcification

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書目名稱Computational Multiscale Modeling of Fluids and Solids讀者反饋




書目名稱Computational Multiscale Modeling of Fluids and Solids讀者反饋學(xué)科排名

Abrade

https://doi.org/10.1007/978-3-642-95592-1repeated experiments and average the results, i.e one has to assume probability distributions for the measured macroscopic observables. If one performs . independent measurements of some observable ., the mean value is computed as . All experiments therefore measure . properties and in order to bene

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手勢

ABYSS

Computational Multiscale Modeling of Fluids and Solids978-3-540-75117-5

AUGER

a of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the physical basic principles which are the basis for the numerical and mathemati

AUGER

展覽

Superconducting Quantum Electronics differential equations in fluid or solid mechanics, Γ-space in thermodynamics, non-Euclidean curved space-time in the theory of general relativity, Minkowski space in the special theory of relativity, and so on.

弄臟

COHERENCE AND THE FLUX QUANTUM,rom the macroscopic world. One of the first breakthrough examples of multiscale modeling of materials was the linking of quantum and classical MD method with continuum methods to study crack propagation in silicon by Abraham et al. [40].

里程碑

Introductioneories. In doing so we focus on the fluid and solid states of matter, albeit the numerical methods are usually neither restricted to any particular phase of matter nor to any particular intrinsic length scale.