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Elsevier

Books in Physical sciences and engineering

  • Data Science, Interactive Visualizations, and Generative AI Tools for the Analysis of Qualitative, Mixed-Methods, and Multimodal Evidence

    • 1st Edition
    • Manuel González Canché
    • English
    Too many qualitative and mixed-methods researchers are currently being asked to make an impossible choice: either remain outside the world of advanced data science and artificial intelligence, or enter it by learning programming, relying on expensive proprietary platforms, and uploading sensitive data to external servers. This book begins from a different premise: researchers should not have to choose between rigor, accessibility, privacy, and interpretive depth. Data Science, Interactive Visualizations, and Generative AI Tools for the Analysis of Qualitative, Mixed-Methods, and Multimodal Evidence presents an integrated methodological ecosystem for ethical and equity-driven data science in qualitative and mixed-methods research. It is designed for scholars working with textual, relational, temporal, affective, spatial, visual, and multimodal evidence who want access to rigorous data science and AI-supported analytic tools without needing to master programming, pay recurring fees, or surrender control of sensitive materials.The book introduces a fully local, no-code ecosystem of software tools for analyzing complex evidence across multiple layers of inquiry—from language and structure to time, emotion, interaction, and context. Special attention is given to ISARI (Intelligent Systems for Academic Research Integration), a fully offline, open-source, multimodal brainstorming partner designed to support scholarly memoing, comparison, synthesis, and evidence-grounded writing. ISARI is presented not as a substitute for interpretation, but as part of a broader local analytic environment in which computational outputs remain accountable to researchers’ judgment and to participants’ original evidence.This is not a book about replacing researchers with AI. It is a book about giving researchers ethical, privacy-conscious, and equity-driven access to advanced analytic tools that have too often remained restricted to those with programming expertise or privileged institutional support. By bringing together interactive visualizations, machine learning, natural language processing, geocontextualization... temporal analysis, relational modeling, and local generative AI, this book offers a practical and forward-looking vision for doing rigorous research without compromising transparency, scholarly control, or data sovereignty. It is intended for researchers, faculty, graduate students, institutional analysts, and interdisciplinary scholars interested in expanding their analytic toolkit while preserving methodological accountability and interpretive authority.

  • Advances in the Electricity Markets

    Data-Driven Analytics
    • 1st Edition
    • Sonal Gupta + 4 more
    • English
    Advances in the Electricity Markets: Data-Driven Analytics explores the quantitative skills, latest technologies, and sustainable initiatives essential for the effective management of emerging electricity markets. The book provides insights on how to practically achieve sustainable development goals by incorporating advanced methods, including those related to renewable integration, robust power market analysis, and precise prediction methods that facilitate the reduction of carbon emissions. In addition, the book offers novel theoretical, policy, and managerial insights into adopting Distributed Energy Resources, Smart contracts, and the AI and Machine Learning approaches required for the resilience of electricity systems. Finally, sections discuss how electricity markets are evolving, including coverage of peer-to-peer trading, energy optimization, and intelligent electricity systems. Written for energy researchers and professionals, as well as graduate students studying energy and electrical engineering, this book is a valuable resource for those who want to better understand growing electricity markets and the latest techniques required to manage climate change.

  • Intelligent Control in Smart Energy Systems

    • 1st Edition
    • Satya Prakash Yadav + 3 more
    • English
    Intelligent Control in Smart Energy Systems provides a clear and practical guide to the implementation of Artificial Intelligent (AI) techniques in modern, sustainable energy systems. Building from essential theory to advanced application processes, this book outlines the essential challenge of control for renewable and distributed energy sources and applies a range of AI solutions from deep learning, data-driven decision-making, advanced control, and optimization algorithms for smart grids. Case studies and latest results cover control across design, development, and operation of smart energy systems, touching on control in generation, distribution, and supply.Catering to newly interdisciplinary researchers as well as those with a basic understanding of AI technologies, this book supports higher-stage undergraduates, graduate students, researchers, and system engineers in implementing best practice control techniques for a sustainable energy grid.

  • 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.

  • Green Revolution

    Non-Traditional Approaches to Waste Management and Resource Utilization
    • 1st Edition
    • Marcello Locatelli + 2 more
    • English
    Green Revolution: Non-Traditional Approaches to Waste Management and Resource Utilization offers strategies for waste management through detailed discussions on innovative methods and diverse applications of waste-derived materials. By promoting recycling and innovative resource utilization, this book will empower readers to contribute to a sustainable and circular economy. It delves into the environmental importance of converting waste, while also highlighting various materials like carbon quantum dots, carbon nanotubes, and metal organic frameworks.

  • 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.

  • MXenes for Supercapacitors

    Design, Performance and Applications
    • 1st Edition
    • Mayank Pandey + 2 more
    • English
    MXenes for Supercapacitors: Design, Performance and Applications focuses on design principles and strategies for optimizing performance that are crucial for harnessing the full potential of these materials in supercapacitors, which include detailed discussions on MXene-based electrode materials, electrolyte systems, and device configurations. The book also offers new insights into enhancing energy storage capacity, power density, and cycling stability. By bridging the gap between fundamental research and practical implementation, it will equip the reader (researchers, engineers, and industry professionals) with the knowledge and tools necessary to develop the next generation of supercapacitor technologies with MXenes at the forefront of research.The book will serve as a comprehensive guide addressing, both fundamental aspects and practical implications for this cutting-edge technology and its use in supercapacitors.

  • Modern Energy Storage

    The Key to Energy System Transformation
    • 1st Edition
    • Huaiguang Jiang + 4 more
    • English
    Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encycloped... for energy-storage-relat... areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.

  • Algal Bioengineering and Microbial Synergy in Green Industry for Sustainable Waste Remediation

    • 1st Edition
    • Shailendra Kumar Arya + 2 more
    • English
    Algal Bioengineering and Microbial Synergy in Green Industry for Sustainable Waste Remediation investigates biotechnological solutions for environmental challenges and sustainability. The book explores the relationship between algal bioengineering and microbial processes as well as their important role in mitigating waste. Advancements in bioreactor design and waste remediation are highlighted, along with future research directions for achieving sustainable waste remediation.

  • Well Cement Integrity

    • 1st Edition
    • Rahman Ashena + 2 more
    • English
    Well Cement Integrity offers a comprehensive examination of the critical factors influencing the long-term safety and reliability of wellbore barriers. The book synthesizes recent advances in evaluation techniques, including experimental laboratory testing, field diagnostics, and innovative data-driven methods such as AI and machine learning. It addresses the unique challenges faced in high-pressure, high-temperature, geothermal, and CCUS environments, providing practical guidance for assessing and maintaining cement integrity throughout the entire well lifecycle. The content emphasizes a holistic approach, integrating laboratory assessments, logging tools, pressure testing, and long-term monitoring strategies to enable practitioners to make informed decisions and implement effective remediation measures.The book's structure includes detailed chapters on topics such as cement bond logs, sustained casing pressure, cement plugs, and plug-and-abandonment procedures. It explores the fundamentals of experimental evaluation, discusses the causes and prevention of casing failures, and presents case studies illustrating real-world applications. Additional chapters focus on the evaluation of cement integrity in specialized scenarios like CCUS and geothermal wells, as well as cutting-edge techniques involving AI and machine learning to predict and analyze well performance. Practical procedures and industry standards are incorporated to support effective decision-making and operational excellence.

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