Practical Statistical Mechanics by Francesco Caravelli - ISBN: 9781032993317
Paperback
Master statistical mechanics through 268 solved problems.
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Practical Statistical Mechanics

Solved Problems, Volume 3

$230.62

  • Paperback

    648 pages

  • Release Date

    25 November 2026

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Summary

This book — the third in a set, following two standalone companions that introduce standard techniques of statistical mechanics – is a new edition of Problems on Statistical Mechanics (D. A. R. Dalvit et al, 1999).

A thorough understanding of statistical mechanics depends strongly on the insights and manipulative skills that are acquired through the solving of problems. This book provides 268 problems with model solutions, illustrating both basic principles and applications.<…

Book Details

ISBN-13:9781032993317
ISBN-10:1032993316
Author:Francesco Caravelli, Juan Zanella Béguelin, Alioscia Hamma, Diego A.R. Dalvit
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:648
Release Date:25 November 2026
Dimensions:178mm x 254mm
A-Format
B-Format
C-Format
Practical Statistical Mechanics by Francesco Caravelli - ISBN: 9781032993317
178 × 254 mm
A4
mm / in
About The Author

Francesco Caravelli

Francesco Caravelli is a physicist whose research spans equilibrium and non-equilibrium statistical mechanics, dynamical and complex systems, and quantum technologies. He began his scientific career in quantum gravity at the University of Waterloo and the Perimeter Institute, later moving into complex systems during positions at the University of Oxford and University College London, followed by research in the private sector. Since joining Los Alamos National Laboratory in 2017, first as an Oppenheimer Fellow and later as a Staff Scientist in T4, he has investigated the dynamics of memristive and neuromorphic circuits, deriving exact results that link their memory properties to foundational principles of statistical physics. His recent work focuses on collective nonlinear dynamics, neuromorphic computing, low-power analog architectures, and emerging directions in quantum computing.

Juan Zanella Béguelin received his B.Sc. in Physics from Instituto Balseiro and his Ph.D. from the University of Buenos Aires, where he currently teaches theoretical physics. He has ample expertise in solved problems on thermodynamics and statistical mechanics.

Alioscia Hamma is a theoretical physicist and associate professor at the University Federico II of Naples. Specializing in quantum information theory, his research spans quantum algorithms, foundations of quantum mechanics, black hole physics, quantum chaos, and complexity. After earning his PhD in Naples, he held positions at USC, MIT, Perimeter Institute, Tsinghua, and UMass Boston.

Diego A. R. Dalvit is a Senior Staff Member at the Theoretical Division of Los Alamos National Laboratory. He is a quantum optics theorist with expertise in Casimir physics, statistical mechanics, quantum sensing, and metamaterials. He received his Ph.D. in Physics from Universidad de Buenos Aires (Argentina) in 1998. He is a Fellow of the American Physical Society and Optica. He has authored more than 110 peer-reviewed papers, with more than 10,000 citations. He has also co-authored two physics textbooks, one a guide to the essence of Casimir physics, and one on problems on statistical mechanics.

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