PIERRE GASPARD is a professor in physics at the Université Libre de Bruxelles and co-director of the Interdisciplinary Center for Nonlinear Phenomena and Complex Systems. He is the author of the book, Chaos, Scattering and Statistical Mechanics (Cambridge University Press, 1998), and he has published more than 200 related papers in the fields of statistical physics, nonlinear physics, and chemical physics.
The Statistical Mechanics of irreversible Phenomena
Par :Formats :
- Nombre de pages663
- FormatGrand Format
- PrésentationRelié
- Poids1.405 kg
- Dimensions17,5 cm × 25,0 cm × 3,5 cm
- ISBN978-1-108-47372-9
- EAN9781108473729
- Date de parution01/11/2022
- ÉditeurCambridge University Press
Résumé
This book provides a comprehensive and self-contained overview of recent progress in nonequilibrium statistical mechanics, in particular, the discovery of fluctuation relations and other time-reversal symmetry relations. The significance of these advances is that nonequilibrium statistical physics is no longer restricted to the linear regimes close to equilibrium but extends to fully nonlinear regimes.
These important new results have inspired the development of a unifying framework for describing both the microscopic dynamics of collections of particles, and the macroscopic hydrodynamics and thermodynamics of matter itself. The book discusses the significance of this theoretical framework in relation to a broad range of nonequilibrium processes, from the nanoscale to the macroscale, and is essential reading for researchers and graduate students in statistical physics, theoretical chemistry, and biological physics.
These important new results have inspired the development of a unifying framework for describing both the microscopic dynamics of collections of particles, and the macroscopic hydrodynamics and thermodynamics of matter itself. The book discusses the significance of this theoretical framework in relation to a broad range of nonequilibrium processes, from the nanoscale to the macroscale, and is essential reading for researchers and graduate students in statistical physics, theoretical chemistry, and biological physics.