The aim of this book is to explain the unusual properties of both pure liquid water and simple aqueous solutions, in terms of the properties of single molecules and interactions among small numbers of water molecules. It is mostly the result of the author's own research spanning over 40 years in the field of aqueous solutions. An understanding of the properties of liquid water is a prelude to the understanding of the role of water in biological systems and for the evolvement of life.The book is targeted at anyone who is interested in the outstanding properties of water and its role in biological systems. It is addressed to both students and researchers in chemistry, physics and biology.

"The aim of this book is to explain the unusual properties of both pure liquid water and simple aqueous solutions, in terms of the properties of single molecules and interactions among small numbers of water molecules. It is mostly the result of the author's own research spanning over 40 years in the field of aqueous solutions."--Jacket.

This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional information and mutual information. Unlike many books, which refer to the Shannon's Measure of information (SMI) as "Entropy," this book makes a clear distinction between the SMI and Entropy. In the last chapter, Entropy is derived as a special case of SMI. Ample examples are provided which help the reader in understanding the different concepts discussed in this book. As with previous books by the author, this book aims at a clear and mystery-free presentation of the central concept in Information theory — the Shannon's Measure of Information. This book presents the fundamental concepts of Information theory in a friendly-simple language and is devoid of all kinds of fancy and pompous statements made by authors of popular science books who write on this subject. It is unique in its presentation of Shannon's measure of information, and the clear distinction between this concept and the thermodynamic entropy. Although some mathematical knowledge is required by the reader, the emphasis is on the concepts and their meaning rather on the mathematical details of the theory.

There are essentially two theories of solutions that can be considered exact: the McMillan-Mayer theory and Fluctuation Solution Theory (FST). The first is mostly limited to solutes at low concentrations, while FST has no such issue. It is an exact theory that can be applied to any stable solution regardless of the number of components and their co

This monograph presents the molecular theory and necessary tools for the study of solvent-induced interactions and forces. After introducing the reader to the basic definitions of solvent-induced interactions, the author provides a brief analysis of the statistical thermodynamics. The book thoroughly overviews the connection of those interactions with thermodynamics and consequently focuses on specifically discussing the hydrophobic-hydrophilic interactions and forces. The importance of the implementation of hydrophilic interactions and forces in various biochemical processes is thoroughly analyzed, while evidence based on theory, experiments, and simulated calculations supporting that hydrophilic interactions and forces are far more important than the corresponding hydrophobic effects in many biochemical processes such as protein folding, self-assembly of proteins, molecular recognitions, are described in detail. This title is of great interest to students and researchers working in the fields of chemistry, physics, biochemistry, and molecular biology.

This book focuses on analysing the applications of the Shannon Measure of Information (SMI). The book introduces the concept of frustration and discusses the question of the quantification of this concept within information theory (IT), while it also focuses on the interpretation of the entropy of systems of interacting particles in terms of the SMI and of mutual information. The author examines the question of the possibility of measuring the extent of frustration using mutual information and discusses some classical examples of processes of mixing and assimilation for which the entropy changes are interpreted in terms of SMI. A description of a few binding systems and the interpretation of cooperativity phenomena in terms of mutual information are also presented, along with a detailed discussion on the general method of using maximum SMI in order to find the “best-guess” probability distribution. This book is a valuable contribution to the field of information theory and will be of great interest to any scientist who is interested in IT and in its potential applications.

Volumetric properties play an important role in research at the interface of physical chemistry and chemical engineering, but keeping up with the latest developments in the field demands a broad view of the literature. Presenting a collection of concise, focused chapters, this book offers a comprehensive guide to the latest developments in the field and a starting point for more detailed research. The chapters are written by acknowledged experts, covering theory, experimental methods, techniques, and results on all types of liquids and vapours. The editors work at the forefront of thermodynamics in mixtures and solutions and have brought together contributions from all areas related to volume properties, offering a synergy of ideas across the field. Graduates, researchers and anyone working in the field of volumes will find this book to be their key reference.