Interactive resource centering around fourteen high quality computer simulations covering essential topics in solid state physics. Copyright © Libri GmbH. All rights reserved.

Peter Dea, Thomas Frauenheim, Mark R. Pederson (eds.) Computer Simulation of Materials at Atomic Level Combining theory and applications, this book deals with the modelling of materials properties and phenomena at atomic level. The first part provides an overview of the state-of-the-art of computational solid state physics. Emphasis is given on the understanding of approximations and their consequences regarding the accuracy of the results. This part of the book also deals as a guide to find the best method for a given purpose. The second part offers a potpourri of interesting topical applications, showing what can be achieved by computational modelling. Here the possibilities and the limits of the methods are stressed. A CD-ROM supplies various demo programmes of applications.

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: • Offers a well-balanced mathematical analysis of modeling physical systems • Summarizes basic principles in differential geometry and convex analysis as needed • Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling • Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

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