Arieh Ben-Naim Livres

This book provides a clear and mystery-free presentation of the central concepts in thermodynamics - probability, entropy, Helmholtz energy and Gibbs energy. It presents the concepts of entropy, free energy and various formulations of the Second La

In this unique book, the reader is invited to experience the joy of appreciatingsomething which has eluded understanding for many years ́U+0094 entropy and theSecond Law of Thermodynamics. The book has a two-pronged message: first, thatthe Second Law is not infinitely incomprehensible as commonly stated in mosttextbooks on thermodyn.

Focusing on the Kirkwood-Buff Theory, this book simplifies complex concepts in thermodynamics for readers with limited background knowledge. It highlights the theory's significance and versatility, applicable to various solutions, including those involving proteins and nucleic acids. The initial chapters provide essential grounding in chemical thermodynamics and statistical mechanics, leading into a detailed derivation of the Kirkwood-Buff theory and its inversion, making it a valuable resource for both students and researchers in the field.

Focusing on key thermodynamic concepts like probability, entropy, and free energy, this book offers an accessible and straightforward explanation of these principles. It breaks down complex ideas, including various formulations of the Second Law, using clear and simple language. The absence of elaborate jargon and pretentiousness makes it an ideal resource for readers seeking a practical understanding of thermodynamics without unnecessary complexity.

The book delves into the Shannon Measure of Information (SMI) and its applications in quantifying frustration within information theory. It explores the entropy of interacting particle systems through SMI and mutual information, examining how these concepts relate to processes like mixing and assimilation. Additionally, it discusses binding systems and cooperativity phenomena, offering a method for utilizing maximum SMI to derive optimal probability distributions. This work is a significant resource for scientists interested in the intersections of information theory and its practical applications.

Focusing on solvent-induced interactions, this monograph delves into molecular theory and statistical thermodynamics. It highlights the significance of hydrophilic interactions over hydrophobic effects in various biochemical processes, including protein folding and molecular recognition. The author provides a comprehensive analysis supported by theoretical, experimental, and simulated evidence, making it a valuable resource for students and researchers in chemistry, physics, biochemistry, and molecular biology.