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Elsevier

Books in Physical sciences and engineering

  • Nanomaterials for Bioreactors and Bioprocessing Applications

    • 1st Edition
    • Guillermo R. Castro + 4 more
    • English
    Nanomaterials for Bioreactors and Bioprocessing Applications explores the potential of nanomaterials in improving the efficiency of bioprocessing industries and next-generation bioreactors. The book provides information on various newly synthesized nanomaterials in bioreactors for scaling up the bioprocess to an industrial level, the criteria and properties of nanomaterials to be used in bioprocessing, advantages and challenges while using the nanomaterials, and economic constraints. In addition, the book also discusses the fate of various nanomaterials in the bioprocess, the chances of product contamination, and its prevention. This book is an important reference source for materials scientists and biomedical engineers seeking information on the synthesized nanomaterials that are available for bioreactors and bioprocesses, and the various optimized conditions and precautions to be taken.

  • Process-Induced Phase Separation in Polymer Blends

    Materials, Characterization, Properties, and Applications
    • 1st Edition
    • Suprakas Sinha Ray + 3 more
    • English

  • Polish Quantum Chemistry from Kołos to Now

    • 1st Edition
    • Volume 87
    • Monika Musial + 1 more
    • English
    Polish Quantum Chemistry from Kołos to Now, Volume 87 provides a survey of contributions coauthored by Polish scientists working in Poland, and in European and American Universities. Sections in this release include Review: From the Kolos-Wolniewicz calculations to the quantum-electrodynam... treatment of the hydrogen molecule: competition between theory and experiment, Review: How to make symmetry-adapted perturbation theory more accurate, Review: Advanced models of coupled cluster theory for the ground, excited and ionized states, Can orbital basis sets compete with explicitly correlated ones for few-electron systems?, Converging high-level equation-of-motion coupled-cluster energetics with the help of Monte Carlo and selected configuration interaction, and more. Additional chapters cover Coupled cluster downfolding techniques: a review of existing applications in classical and quantum computing for chemical systems, Exploring the attosecond laser-driven electron dynamics in the hydrogen molecule with different real-time time-dependent configuration interaction approaches, Molecular systems in spatial confinement: variation of linear and nonlinear electrical response of molecules in the bond dissociation processes, and much more.

  • Design of Experiments for Engineers and Scientists

    • 3rd Edition
    • Jiju Antony
    • English
    This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities.Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic.

  • Small Angle X-Ray and Neutron Scattering with Applications to Geomaterials

    • 1st Edition
    • Yixin Zhao + 2 more
    • English
    Small Angle X-Ray and Neutron Scattering with Applications to Geomaterials provides techniques for the analysis of geomaterials, which is of great significance for humans because geomaterials are related to earthquake, resource development, underground spaces, carbon dioxide storage, and more. The book introduces the fundamental theory of small angle X-ray and neutron scattering and covers pore accessibility characterization for natural rocks from four aspects, including quantitative evaluation of pore structure heterogeneity and anisotropy, quantification of pore modification in coals due to pulverization, estimation and modeling of coal pore accessibility, and nanoscale coal deformation and alteration of porosity and pore orientation under uniaxial compression. Finally, interactions between pore structures and fluid behaviors in geomaterials are introduced, along with the connections between small-angle scattering and other techniques (NMR cytophotometry, Transmission Electron Microscopy and synchrotron radiation SAXS and nano-CT) described.

  • Aberration Theory in Electron and Ion Optics

    • 1st Edition
    • Volume 226
    • Peter W. Hawkes + 1 more
    • English
    Advances in Imaging and Electron Physics, Volume 227 in the Advances in Imaging and Electron Physics series, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

  • Advances in Atomic, Molecular, and Optical Physics

    • 1st Edition
    • Volume 72
    • English
    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.

  • Hydrological Drought

    Processes and Estimation Methods for Streamflow and Groundwater
    • 2nd Edition
    • Lena M. Tallaksen + 1 more
    • English
    Hydrological Drought: Processes and Estimation Methods for Streamflow and Groundwater, Second Edition provides a comprehensive review of processes and estimation methods for streamflow and groundwater drought. It includes a qualitative conceptual understanding of drought features and processes, a detailed presentation of estimation methods and tools, practical examples and impacts relevant for operational practice.The drought phenomenon and its diversity across the world are illustrated using a global set of daily streamflow series, whereas regional and local aspects of drought are studied using a combination of hydrological time series and catchment information. Hydrological Drought: Processes and Estimation Methods for Streamflow and Groundwater, Second Edition concludes with human impacts, including climate change impacts on drought, drought forecasting and early warning and examples of procedures on how to manage water during drought. The majority of the examples are taken from regions where the rivers run most of the year, but not　exclusively. The material presented ranges from well-established knowledge and analysing methods to recent developments in drought research. Its nature varies accordingly, from a more traditional textbook and clear overview to that of a research paper, which introduces recent approaches and methodologies for drought analysis.

  • Handbook of Natural Polymers, Volume 1

    Sources, Synthesis, and Characterization
    • 1st Edition
    • Sreekala Meyyarappallil Sadasivan + 3 more
    • English
    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, polyhydroxyalkanoate... 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.

  • Handbook of Metaheuristic Algorithms

    From Fundamental Theories to Advanced Applications
    • 1st Edition
    • Chun-Wei Tsai + 1 more
    • English
    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.

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