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Stochastic Thermodynamics

2021-07-06 Mathematics
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Release : 2021-07-06
Genre : Mathematics
Kind : eBook
Book Rating : 773/5 ( reviews)

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Book Synopsis Stochastic Thermodynamics by : Luca Peliti

Download or read book Stochastic Thermodynamics written by Luca Peliti. This book was released on 2021-07-06. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive graduate-level introduction to stochastic thermodynamics Stochastic thermodynamics is a well-defined subfield of statistical physics that aims to interpret thermodynamic concepts for systems ranging in size from a few to hundreds of nanometers, the behavior of which is inherently random due to thermal fluctuations. This growing field therefore describes the nonequilibrium dynamics of small systems, such as artificial nanodevices and biological molecular machines, which are of increasing scientific and technological relevance. This textbook provides an up-to-date pedagogical introduction to stochastic thermodynamics, guiding readers from basic concepts in statistical physics, probability theory, and thermodynamics to the most recent developments in the field. Gradually building up to more advanced material, the authors consistently prioritize simplicity and clarity over exhaustiveness and focus on the development of readers’ physical insight over mathematical formalism. This approach allows the reader to grow as the book proceeds, helping interested young scientists to enter the field with less effort and to contribute to its ongoing vibrant development. Chapters provide exercises to complement and reinforce learning. Appropriate for graduate students in physics and biophysics, as well as researchers, Stochastic Thermodynamics serves as an excellent initiation to this rapidly evolving field. Emphasizes a pedagogical approach to the subject Highlights connections with the thermodynamics of information Pays special attention to molecular biophysics applications Privileges physical intuition over mathematical formalism Solutions manual available on request for instructors adopting the book in a course

Quantum Stochastic Thermodynamics

2022 Science
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Release : 2022
Genre : Science
Kind : eBook
Book Rating : 583/5 ( reviews)

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Book Synopsis Quantum Stochastic Thermodynamics by : Philipp Strasberg

Download or read book Quantum Stochastic Thermodynamics written by Philipp Strasberg. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: The theory of thermodynamics has been one of the bedrocks of 19th-century physics, and thermodynamic problems have inspired Planck's quantum hypothesis. One hundred years later, in an era where we design increasingly sophisticated nanotechnologies, researchers in quantum physics have been 'returning to their roots', attempting to reconcile modern nanoscale devices with the theory of thermodynamics. This textbook explains how it is possible to unify the two opposite pictures of microscopic quantum physics and macroscopic thermodynamics in one consistent framework, proving that the ancient theory of thermodynamics still offers many remarkable insights into present-day problems. This textbook focuses on the microscopic derivation and understanding of key principles and concepts and their interrelation. The topics covered in this book include (quantum) stochastic processes, (quantum) master equations, local detailed balance, classical stochastic thermodynamics, (quantum) fluctuation theorems, strong coupling and non-Markovian effects, thermodynamic uncertainty relations, operational approaches, Maxwell's demon, and time-reversal symmetry, among other topics. The textbook also explores several practical applications of the theory in more detail, including single-molecule pulling experiments, quantum transport and thermoelectric effects in quantum dots, the micromaser, and related setups in quantum optics. The aim of this book is to inspire readers to investigate a plethora of modern nanoscale devices from a thermodynamic point of view, allowing them to address their dissipation, efficiency, reliability, and power based on a conceptually clear understanding about the microscopic origin of heat, entropy, and the second law. The book is accessible to graduate students, post-docs, and lecturers, but will also be of interest to all researchers striving for a deeper understanding of the laws of thermodynamics beyond their traditional realm of applicability.

Statistical Thermodynamics and Stochastic Kinetics

2012 Mathematics
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Release : 2012
Genre : Mathematics
Kind : eBook
Book Rating : 617/5 ( reviews)

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Book Synopsis Statistical Thermodynamics and Stochastic Kinetics by : Yiannis N. Kaznessis

Download or read book Statistical Thermodynamics and Stochastic Kinetics written by Yiannis N. Kaznessis. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: Provides engineers with the knowledge they need to apply thermodynamics and solve engineering challenges at the molecular level.

An Introduction to Stochastic Thermodynamics

2023-05-08 Science
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Release : 2023-05-08
Genre : Science
Kind : eBook
Book Rating : 868/5 ( reviews)

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Book Synopsis An Introduction to Stochastic Thermodynamics by : Naoto Shiraishi

Download or read book An Introduction to Stochastic Thermodynamics written by Naoto Shiraishi. This book was released on 2023-05-08. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the fundamentals of stochastic thermodynamics, one of the most central subjects in non-equilibrium statistical mechanics. It also explores many recent advances, e.g., in information thermodynamics, the thermodynamic uncertainty relation, and the trade-off relation between efficiency and power. The content is divided into three main parts, the first of which introduces readers to fundamental topics in stochastic thermodynamics, e.g., the basics of stochastic processes, the fluctuation theorem and its variants, information thermodynamics, and large deviation theory. In turn, parts two and three explore advanced topics such as autonomous engines (engines not controlled externally) and finite speed engines, while also explaining the key concepts from recent stochastic thermodynamics theory that are involved. To fully benefit from the book, readers only need an undergraduate-level background in statistical mechanics and quantum mechanics; no background in information theory or stochastic processes is needed. Accordingly, the book offers a valuable resource for early graduate or higher-level readers who are unfamiliar with this subject but want to keep up with the cutting-edge research in this field. In addition, the author’s vivid descriptions interspersed throughout the book will help readers grasp ‘living’ research developments and begin their own research in this field.

Statistical Dynamics

2009 Science
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Release : 2009
Genre : Science
Kind : eBook
Book Rating : 448/5 ( reviews)

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Book Synopsis Statistical Dynamics by : R. F. Streater

Download or read book Statistical Dynamics written by R. F. Streater. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: How can one construct dynamical systems obeying the first and second laws of thermodynamics: mean energy is conserved and entropy increases with time? This book answers the question for classical probability (Part I) and quantum probability (Part II). A novel feature is the introduction of heat particles which supply thermal noise and represent the kinetic energy of the molecules. When applied to chemical reactions, the theory leads to the usual nonlinear reaction-diffusion equations as well as modifications of them. These can exhibit oscillations, or can converge to equilibrium.In this second edition, the text is simplified in parts and the bibliography has been expanded. The main difference is the addition of two new chapters; in the first, classical fluid dynamics is introduced. A lattice model is developed, which in the continuum limit gives us the Euler equations. The five Navier-Stokes equations are also presented, modified by a diffusion term in the continuity equation. The second addition is in the last chapter, which now includes estimation theory, both classical and quantum, using information geometry.

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