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Statistical Physics of Non-Thermal Phase Transitions electronic resource From Foundations to Applications / by Sergey G. Abaimov.

By: Abaimov, Sergey G [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Springer Series in SynergeticsPublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XIV, 497 p. 144 illus., 2 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319124698Subject(s): physics | Phase transitions (Statistical physics) | Statistical physics | Dynamical systems | Complexity, Computational | Physics | Statistical Physics, Dynamical Systems and Complexity | Complexity | Phase Transitions and Multiphase SystemsDDC classification: 621 LOC classification: QC174.7-175.36Online resources: Click here to access online
Contents:
Preface -- Fractals -- Stastistical Physics, Ensemble Theory, Free Energy Potential -- The Ising Model -- The Theory of Percolation -- Damage Phenomena -- Correlations, Susceptibility, and the Fluctuation-Dissipation Theorem -- The Renormalization Group -- Scaling, the Finite-Size Effect, Cross-Over Effects.
In: Springer eBooksSummary: Statistical physics can be used to better understand non-thermal complex systems—phenomena such as stock-market crashes, revolutions in society and in science, fractures in engineered materials and in the Earth’s crust, catastrophes, traffic jams, petroleum clusters, polymerization, self-organized criticality and many others exhibit behaviors resembling those of thermodynamic systems. In particular, many of these systems possess phase transitions identical to critical or spinodal phenomena in statistical physics. The application of the well-developed formalism of statistical physics to non-thermal complex systems may help to predict and prevent such catastrophes as earthquakes, snow-avalanches and landslides, failure of engineering structures, or economical crises. This book addresses the issue step-by-step, from phenomenological analogies between complex systems and statistical physics to more complex aspects, such as correlations, fluctuation-dissipation theorem, susceptibility, the concept of free energy, renormalization group approach and scaling. Fractals and multifractals, the Ising model, percolation, damage phenomena, critical and spinodal phase transitions, crossover effects and finite-size effects are some of the topics covered in Statistical Physics of Non-Thermal Phase Transitions.
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Preface -- Fractals -- Stastistical Physics, Ensemble Theory, Free Energy Potential -- The Ising Model -- The Theory of Percolation -- Damage Phenomena -- Correlations, Susceptibility, and the Fluctuation-Dissipation Theorem -- The Renormalization Group -- Scaling, the Finite-Size Effect, Cross-Over Effects.

Statistical physics can be used to better understand non-thermal complex systems—phenomena such as stock-market crashes, revolutions in society and in science, fractures in engineered materials and in the Earth’s crust, catastrophes, traffic jams, petroleum clusters, polymerization, self-organized criticality and many others exhibit behaviors resembling those of thermodynamic systems. In particular, many of these systems possess phase transitions identical to critical or spinodal phenomena in statistical physics. The application of the well-developed formalism of statistical physics to non-thermal complex systems may help to predict and prevent such catastrophes as earthquakes, snow-avalanches and landslides, failure of engineering structures, or economical crises. This book addresses the issue step-by-step, from phenomenological analogies between complex systems and statistical physics to more complex aspects, such as correlations, fluctuation-dissipation theorem, susceptibility, the concept of free energy, renormalization group approach and scaling. Fractals and multifractals, the Ising model, percolation, damage phenomena, critical and spinodal phase transitions, crossover effects and finite-size effects are some of the topics covered in Statistical Physics of Non-Thermal Phase Transitions.

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