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Statistical Mechanics of Phase Transitions
The book provides an introduction to the physics which underlies phase transitions and to the theoretical techniques currently at our disposal for understanding them. It will be useful for advanced undergraduates, for post-graduate students undertaking research in related fields, and for established researchers in experimental physics, chemistry, and metallurgy as an exposition of current theoretical understanding. - ;Recent developments have led to a good understanding of universality; why phase transitions in systems as diverse as magnets, fluids, liquid crystals, and superconductors can be brought under the same theoretical umbrella and well described by simple models. This book describes...
Nonequilibrium Statistical Mechanics in One Dimension
Self-contained and up-to-date guide to one-dimensional reactions, dynamics, diffusion and adsorption.
Computer Simulation Studies in Condensed-Matter Physics X
Computer Simulation Studies in Condensed-Matter Physics X is devoted to Prof. Masuo Suzuki's ideas, which have made novel, new simulations possible. These proceedings, of the 1997 workshop, comprise three parts that deal with new algorithms, methods of analysis, and conceptual developments. The first part contains invited papers that deal with simulational studies of classical systems. The second of the proceedings is devoted to invited papers on quantum systems, including new results for strongly correlated electron and quantum spin models. The final part contains a large number of contributed presentations.
Kinetics of Phase Transitions
Providing a comprehensive introduction with the necessary background material to make it accessible for a wide scientific audience, Kinetics of Phase Transitions discusses developments in domain-growth kinetics. This book combines pedagogical chapters from leading experts in this area and focuses on incorporating various experimentally releva
Out-of-equilibrium Soft Matter
The term active fluids refers to motions that are created by transforming energy from the surroundings into directed motion. There are many examples, both natural and synthetic, including individual swimming bacteria or motile cells, drops and bubbles that move owing to surface stresses (so-called Marangoni motions), and chemical- or optical-driven colloids. Investigations into active fluids provide new insights into non-equilibrium systems, have the potential for novel applications, and open new directions in physics, chemistry, biology and engineering. This book provides an expert introduction to active fluids systems, covering simple to complex environments. It explains the interplay of c...
Soft Matter Self-Assembly
Self-assembly is one of the key concepts in contemporary soft condensed matter. It is an umbrella term which encompasses the various modes of spontaneous organization of micrometer-and submicrometer-sized particles into ordered structures of various degrees of complexity, yet it often relies on remarkably simple interactions and mechanisms. Self-assembly is one of the key principles used by nature to construct living matter, where it frequently takes place in a hierarchical fashion. This book contains the lectures from the Enrico Fermi summer school: Soft Matter Self-assembly, held in Varenna, Italy, in June and July 2015. The primary aim of the school was to cover the most exciting modern a...
Applying Molecular and Materials Modeling
Computational molecular and materials modeling has emerged to deliver solid technological impacts in the chemical, pharmaceutical, and materials industries. It is not the all-predictive science fiction that discouraged early adopters in the 1980s. Rather, it is proving a valuable aid to designing and developing new products and processes. People create, not computers, and these tools give them qualitative relations and quantitative properties that they need to make creative decisions. With detailed analysis and examples from around the world, Applying Molecular and Materials Modeling describes the science, applications, and infrastructures that have proven successful. Computational quantum chemistry, molecular simulations, informatics, desktop graphics, and high-performance computing all play important roles. At the same time, the best technology requires the right practitioners, the right organizational structures, and - most of all - a clearly understood blend of imagination and realism that propels technological advances. This book is itself a powerful tool to help scientists, engineers, and managers understand and take advantage of these advances.
Simulating Complex Systems by Cellular Automata
Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics – CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance. In this context of f...
Molecular Networking
The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or "communication" processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented. Key features: Draws on a data analytics approach of molecular systems. Covers hot topics such as artificial intelligence and machine learning of molecular trends. Contains applications to systems at the cutting-edge of research for biological, environmental and energy applications. Discusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and society. Authors have a well-established track record and reputation in the field.
Alloy Phase Stability
One of the ultimate goals of materials research is to develop a fun damental and predictive understanding of the physical and metallurgical properties of metals and alloys. Such an understanding can then be used in the design of materials having novel properties or combinations of proper ties designed to meet specific engineering applications. The development of new and useful alloy systems and the elucidation of their properties are the domain of metallurgy. Traditionally, the search for new alloy systems has been conducted largely on a trial and error basis, guided by the skill and intuition of the metallurgist, large volumes of experimental data, the principles of 19th century thermodynam...
