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Books in Physical sciences and engineering

  • Engineering of Point Defects in Solids

    A Thermodynamic Approach to the Physics of Semiconductors
    • 1st Edition
    • Sergey V. Bulyarskiy
    • English
    Engineering of Point Defects in Solids: A Thermodynamic Approach to the Physics of Semiconductors covers the theoretical and experimental thermodynamics and kinetics of defect formations in solids, including the formation of complex defects from simple ones. The book describes point defects (vacancies, antistructural, interstitial atoms, and impurities) while also providing algorithms for calculating their defect concentrations, conductivity, and stoichiometric composition. Doping of a substance with impurities, with a focus on germanium and silicon (as common semiconductors), is covered, including retrograde solubility, polytrophy, the solubility of impurities, and the mutual influence of donor and acceptor impurities. The thermodynamics of complex defects formed with the participation of vacancies (divacancies and complexes) are discussed, as is luminescence as a non-destructive method for monitoring the dynamics of changes in the concentration of defects in certain technological processes, with particular attention paid to the phenomenon of electron-photon interaction. Other topics covered include the optical properties of various complexes, compounds with volatile components, analyzing the kinetics of precipitate and nanocrystal formation, and more.

  • Deep Learning Assessment of Neurological Imaging

    • 1st Edition
    • Tripti Goel + 3 more
    • English
    Deep Learning Assessment of Neurological Imaging provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. It also provides a comprehensive account of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and a discussion on current research issues and future objectives. The book is a valuable resource to guide new entrants in the field to make a meaningful impact in their development efforts. The book concludes with a brief overview of the problems discussed and potential future advancements in the field.

  • Digital Supply Chain Transformation

    Implementing Technology, Analytics, and Data-Driven Solutions
    • 1st Edition
    • Vinaytosh Mishra
    • English
    Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility are explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. Readers will learn how comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries, recognize the significance of digital transformation in supply chains, understand the tools, technologies, and strategies essential for a successful transformation, evaluate the importance of end-to-end supply chain visibility, employ methods and technologies to enhance this visibility in practical scenarios, and apply system dynamics modeling techniques to address complex supply chain problems to optimize supply chain processes, and much more.

  • Advances in Atomic, Molecular, and Optical Physics

    • 1st Edition
    • Volume 75
    • English
    Advances in Atomic, Molecular, and Optical Physics, Volume 75 presents new insights into attosecond metrology and spectroscopy using seeded free-electron lasers. This volume reviews recent advances in generating and applying attosecond pulses to probe ultrafast electron dynamics, offering a valuable reference for researchers in ultrafast and optical physics.

  • Fractal Soil Mechanics

    • 1st Edition
    • Yongfu Xu
    • English
    Fractal Soil Mechanics, Second Edition presents a detailed approach to understanding soil behavior by applying fractal geometry to characterize soil structure and mechanics. Drawing on over 30 years of research, the author develops original fractal models that link the micro-scale complexity of soil pores and particle fragmentation to macro-scale mechanical properties. The book systematically explores fractal dimensions of soil surfaces and particles, methods for their determination, and their application in modeling unsaturated soil mechanics, effective stress principles, swelling behavior of expansive soils, and shear strength criteria. Through comprehensive theoretical development, experimental data analysis, and numerical simulations, the book offers fresh insights into soil-water interactions, scaling laws, and critical state behavior, providing a robust framework for researchers and engineers to predict soil performance with greater accuracy. The book equips researchers, postgraduate students, and practicing engineers with innovative tools and perspectives to tackle complex soil mechanics problems, bridging the gap between empirical soil mechanics and microstructural analysis.

  • Therma Plasma-coupled Carbon Capture Utilization and Storage

    Unlocking the Potential of Thermal Plasma
    • 1st Edition
    • Vineet S. Sikarwar + 2 more
    • English
    Thermal Plasma-Coupled CCUS: Exploring Sustainable Solutions for Climate Change explores the use of thermal plasma with CCUS to combat climate change and promote sustainable development through waste management and carbon capture. Sections cover thermal plasma, conventional CCS technologies, plasma-coupled CCS, renewable hydrogen integration, lifecycle assessment, catalysts, current global scenarios, future prospects, and the social, political, and ethical aspects of CCS in combating climate change. The book considers environmental and economic assessments as well as social, political, and ethical aspects related to the adoption of this technology, along with innovative applications of thermal plasma with CCUS to advance sustainable development. This unique text offers valuable insights into the opportunities, constraints, and practical implementation of thermal plasma coupled CCUS systems and practical solutions for addressing climate challenges, making it an essential resource for researchers, policymakers, and industry experts seeking to drive positive change in the global fight against climate change.

  • Broadband Dielectric Spectroscopy

    Fundamentals and Applications
    • 1st Edition
    • Carlos M. Costa + 1 more
    • English
    Broadband Dielectric Spectroscopy: Fundamentals and Applications offers an in-depth exploration of the current landscape of BDS, emphasizing techniques, analytical tools, devices, and materials. This comprehensive guide provides a thorough theoretical background and foundational overview, explaining experimental tests, data analysis via various formalisms, and detailed methods alongside case studies. It intertwines theory with real-world applications in advanced materials, offering a critical and pedagogical overview for researchers and engineers in materials chemistry, analytical chemistry, materials science, physics, and physical chemistry.The book delves into intersections between BDS and other analytical techniques across industries, showcasing its use in polymers, hybrid polymers, nanocomposites, ionic liquids, and active dielectrics. It covers fabrication, quality control, sensing, and monitoring processes, making it invaluable for understanding dielectric materials used in electronics and advanced applications. The text also includes detailed methods, protocols, and case studies, demonstrating BDS's efficacy in various industries such as polymers, composites, ceramics, electronic communications, and energy.

  • Baseline Geoscience Data Generation for Sustainable Exploration of Natural Resources

    • 1st Edition
    • O.P. Mishra + 1 more
    • English
    Baseline Geoscience Data Generation for Sustainable Exploration of Natural Resources offers a comprehensive examination of the critical role that baseline geoscience data plays in the sustainable exploration of natural resources. The book highlights the importance of global geophysical mapping as a catalyst for mineral exploration, providing an overview of various geophysical techniques essential for generating baseline data. It explores advanced methodologies in potential field surveying, geoelectrical surveying, electromagnetic techniques, and remote sensing, underscoring their applications in sustainable resource management. The text also examines geospatial surveying techniques, including GIS and GPS, and introduces innovative drone-based geoscientific surveying methods that enhance data collection efficiency. Additionally, the book covers seismic surveying techniques and marine mineral resource exploration, offering a global perspective on national geophysical mapping programs and their significance in mineral exploration. Through case studies and practical applications, readers gain insights into effective data acquisition planning and strategies for utilizing geophysical applications in mineral exploration. The discussion on emerging technologies, including artificial intelligence and machine learning, emphasizes the need for ethical considerations in resource exploration. Ultimately, this book serves as a valuable resource for geoscientists, researchers, and industry professionals, illustrating how robust baseline geoscience data generation is essential for sustainable exploration and responsible management of our natural resources.

  • Digital Twins

    Core Principles and AI Integration
    • 1st Edition
    • Bedir Tekinerdogan + 1 more
    • English
    Digital Twins: Core Principles, System Engineering, and AI Integration provides a comprehensive overview of digital twin technology, a cutting-edge innovation that bridges the physical and digital worlds. The book addresses common challenges such as data integration, security, scalability, and the alignment of digital twin models with actual physical processes. After presenting core concepts of digital twins for software engineering, the book discusses integration with advanced digital solutions such as AI, IoT, Cloud computing, Big Data Analytics, and Extended Reality (XR). Next, the authors provide readers with a thorough presentation of digital twins' applications in a variety of settings and industry/research topics.Finally, the book concludes with a discussion of challenges and solutions, along with future trends in digital twins research and development. As digital twin technology evolves, its integration with various advanced digital solutions is becoming essential for achieving real-time insights and autonomous decision-making. Challenges include understanding the interoperability of these technologies, managing data complexity, ensuring security, and optimizing for low-latency environments.

  • Applied Machine Learning in Chemical Process Engineering

    A Practical Approach
    • 1st Edition
    • Zafar Said + 1 more
    • English
    As machine learning capabilities and functionality increases, more industry experts and researchers are integrating applied machine learning into their research. Applied Machine Learning in Chemical Process Engineering: A Practical Approach serves as a comprehensive guide to equip the reader with the fundamental theory, practical guidance, methodologies, experimental design and troubleshooting knowledge needed to integrate machine learning into their processes. This book offers a comprehensive overview of all aspects of machine learning, from inception to integration that will allow readers from any scientific discipline to begin to examine the capabilities of machine learning. This book will then build upon this overview to offer worked examples and case studies, alongside practical methods-based guidance to walk the reader through integrating machine learning end-to-end. Finally, this book will offer critical discussion of concepts that are interwoven into the ever-evolving principles of machine learning such as ethics, safety and culpability that are crucial when working with machine learning. Applied Machine Learning in Chemical Process Engineering: A Practical Approach will be an invaluable resource for researchers, professionals in industry and academia, and students at graduate level and above who work in chemical engineering and are looking to automate, optimize or intensify their chemical processes. This book will also help professionals in other disciplines and industries looking into integrate machine learning into their work, such as though looking to scale up their processes to an industrial scale or conduct novel research.

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