Advances in Atomic, Molecular, and Optical Physics, Volume 72 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.
The Handbook of Natural Polymers: Sources, Synthesis, and Characterization is a comprehensive resource covering extraction and processing methods for polymers from natural sources, with an emphasis on the latest advances. The book begins by introducing the current state-of-the-art, challenges, and opportunities in natural polymers. This is followed by detailed coverage of extraction, synthesis, and characterization methods, organized by polymer type. Along with broad chapters discussing approaches to polysaccharide-based polymers, dedicated chapters offer in-depth information on nanocellulose, chitin and chitosan, gluten, alginate, natural rubber, gelatin, pectin, lignin, keratin, gutta percha, shellac, silk, wood, casein, albumin, collagen, hemicellulose, polyhydroxyalkanoates, zein, soya protein, and gum. The final chapters explore other key themes, including filler interactions and properties in natural polymer-based composites, biocompatibility and cytotoxicity, biodegradability, life cycle, and recycling. Throughout the book, information is supported by data, and guidance is offered regarding potential scale-up and industry factors. As part of a 3-volume handbook offering comprehensive coverage of natural polymers, this book will be of interest to all those looking to gain a broad knowledge of natural polymers, including academic researchers, scientists, advanced students, engineers, and R&D professionals from a range of disciplines and industries.
Polymer Composite Systems for Pipeline Repair: Design, Manufacture, Application, and Environmental Impacts delivers the latest developments in nanomaterials, specifically polymers and composites that can support pipeline repair in an effective and more environmentally-sound way. Edited by a diverse worldwide group of contributors, the reference touches on design and manufacturing techniques, patch configurations, hybrid pipes used in harsher environments, and damage detection techniques. High temperature, marine, and cold fluids are also included. Rounding out with economic and environmental impact assessments, this book gives today’s oil and gas pipeline engineers an impactful and sustainable tool to safely repair pipelines.
Perovskite Metal Oxides: Synthesis, Properties and Applications provides an overview on the topic, including the synthesis of various types of perovskites, their properties, characterization and application. The book reviews the applications of this category of materials for photovoltaics, electronics, biomedical, fuel cell, photocatalyst, sensor, energy storage and catalysis, along with processing techniques of perovskite metal oxides with a focus on low-cost and high-efficiency methods, including various properties and probable applications in academia and industry. Other sections discuss strategies to improve the functionality of perovskite metal oxide materials, including chemical methods and controlling the size, shape and structure of the materials. Finally, applications of perovskite metal oxides in energy conversion and storage, sensing and electronics are covered.
Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems.
The results obtained from kinetic studies on reactions in solids often depend on numerous factors. Therefore, it is important for researchers to understand how both chemical factors related to composition and procedural choices may influence outcomes. Dynamic Processes in Solids provides an authoritative overview of reactions in solids and helps readers interpret the results obtained from kinetic studies. In chapters written by active researchers, the reader will learn about choosing appropriate experimental techniques and their limitations for studying various types of reactions. Beginning with an introduction to numerous aspects of rate processes in solids and experimental techniques, information is provided on rate laws, factors affecting rates, diffusion, and sintering. Subsequent chapters deal with electrical conductivity in dispersed phase polymers, thermochemical reactions for producing solid materials, reactions in coordination compounds, dynamic observations on plastic deformation, light driven phenomena in quantum materials, decomposition of perovskite photovoltaic compounds, and reaction of oxygen radicals with surfaces. This book is a practical introduction to the field for chemists and researchers whose work is directly related to dynamic changes in solids, and additionally for those in related fields whose work would be enhanced by an understanding of these types of rate processes.
Nanomaterial-Based Metal Organic Frameworks for Single Atom Catalysis covers nanoparticles and their properties, including tunable pore size, efficient reacting capability, large surface area, and morphology, which make them effective catalytic agents. In addition, the book covers catalytic systems, in which nanomaterial-based metal organic frameworks can be applied efficiently as single atom catalysis to enable enhanced functionalities and activities of the reactions in various applications. This book is an important reference source that will be of use to materials scientists, engineers, chemists and chemical engineers who want to learn more about nanomaterials are being used for catalytic applications. Metal organic frameworks (MOFs) are hybrid organic–inorganic, porous, crystalline nanomaterials, and have aroused great attention in the field of catalysis because of their crystalized nano- (lt;2 nm) or meso- (2–50 nm) porous structure, extremely high surface area, and significant chemical diversity. This nanomaterial-based metal organic framework, as a single atom catalysis, enhances the catalytic ability of dispersed single atoms.
Chiral Phosphorous Based Ligands in Earth-Abundant Transition Metal Catalysis summarizes the most significant progress in the field of chiral phosphine ligand chemistry and a broad range of earth-abundant transition metal/chiral phosphine ligand-catalyzed enantioselective transformations. The book provides an authoritative and in-depth understanding of important topics about asymmetric catalysis based on earth-abundant transition metals/chiral phosphine ligands, making it ideal for organic chemistry researchers working in the field of asymmetric catalysis, synthetic methodologies and total synthesis.The development of new chiral phosphine ligands to achieve precise stereo control in many earth-abundant transition metal-catalyzed reactions is a very important field in organic synthesis, materials science and medicinal chemistry. The asymmetric synthesis promoted by transition metal/chiral phosphine ligands provides one of the most ideal ways to produce valuable optically active chemicals.
Formal Verification: An Essential Toolkit for Modern VLSI Design, Second Edition presents practical approaches for design and validation, with hands-on advice to help working engineers integrate these techniques into their work. Formal Verification (FV) enables a designer to directly analyze and mathematically explore the quality or other aspects of a Register Transfer Level (RTL) design without using simulations. This can reduce time spent validating designs and more quickly reach a final design for manufacturing. Building on a basic knowledge of SystemVerilog, this book demystifies FV and presents the practical applications that are bringing it into mainstream design and validation processes. Every chapter in the second edition has been updated to reflect evolving FV practices and advanced techniques. In addition, a new chapter, Formal Signoff on Real Projects, provides guidelines for implementing signoff quality FV, completely replacing some simulation tasks with significantly more productive FV methods. After reading this book, readers will be prepared to introduce FV in their organization to effectively deploy FV techniques that increase design and validation productivity.
Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to the methodologies and techniques that can be used in Earth observation data assessments, geospatial analysis, and soft computing in the geosciences. The book covers a variety of spatiotemporal problems and topics in the areas of the environment, geohazards, urban analysis, health, pollution, climate change, resources and geomorphology, among others. Sections cover environmental and climate issues, analysis of geomorphological data, hazard and disaster impacts, natural and human resources, the influence of environmental conditions, geohazards, climate change, geomorphological changes, etc., and socioeconomic challenges. Detailing up-to-date techniques in geoinformatics, this book offers in-depth, up-to-date methodologies for researchers and academics to understand how contemporary data can be combined with innovative techniques and tools in order to address challenges in the geosciences.