Tien-Chien Jen

Bioderived and Synthetic Hydrogen Storage Materials presents innovative approaches for developing efficient, safe, and cost-effective hydrogen storage technologies. It demonstrates how the combination of biosynthesized and engineered nanomaterials can overcome hydrogen’s inherent storage challenges of low density and high diffusivity. Covering physical, chemical, and hybrid storage methods, this book showcases how waste biomass and plastic can be transformed into functional hydrogen storage materials through sustainable processes. It addresses metal hydrides, complex hydrides, carbon-based materials, and metal-organic frameworks while expanding on the emerging application of 3D printing in fabricating optimized storage structures. Readers will gain insight into the complete development pathway for next-generation storage materials from precursor selection and biosynthesis to functionalization, thermal activation, and performance testing. Graduate students and researchers in materials science and energy engineering, as well as industry professionals developing sustainable energy technologies, waste valorization processes, and nanomaterials for energy systems, will find this book a useful reference.

Green Hydrogen in Energy Systems: A Computational Fluid Dynamics Approach provides a comprehensive exploration of how CFD modeling techniques are revolutionizing the development, optimization, and safety analysis of green hydrogen technologies. It addresses the critical role hydrogen plays in the global energy transition while offering practical analytical frameworks. The book systematically examines the entire hydrogen value chain—from innovative production methods like membraneless electrolyzers to storage mechanisms, transportation systems, and end-use applications. Through detailed CFD simulations, it demonstrates how computational modeling can solve complex fluid dynamics challenges unique to hydrogen systems, improving efficiency and addressing safety concerns essential for widespread adoption. This book serves as a reference for graduate students, researchers, and energy practitioners focused on hydrogen technology, fluid mechanics, renewable energy systems, and computational modeling.

Injection Molding Process Modelling presents the application of CAE, statistics and AI in defect identification, control, and optimization of injection molding process for quality production. It showcases CAE in determining the optimal placement of injection points, designing cooling channels, and ensuring that the mold will produce parts with the desired specifications. The book illustrates the capability of the CAE tools to simulate molten plastic flow within a mold during the injection molding process. Explaining how the use of CAE, statistical tools and AI enhances efficiency, accuracy, and collaboration, the book explores the contributions to injection molding in product design and visualization; prototyping and testing; mold design; and analysis and simulation. It emphasizes the integration of statistical tools for optimized efficiency and waste reduction, including statistical process control (SPC), Design of Experiments (DOE), Regression Analysis, Capability Indices, Interaction effects, and many more. The book also illustrates the predictive modelling of typical injection molded product defects using intelligent algorithms. The book will interest industry professionals and engineers working in manufacturing, production, automation, and quality control.

This book discusses corrosion and inhibition using agricultural waste including the impact of corrosion on key emerging technologies such as 3D printing, clean energy, smart coating, and machine learning via environment, sustainability, and governance and economies (ESG) approach. The advantages and disadvantages of using this ecofriendly, sustainable natural product as a corrosion inhibitor over other commercially available corrosion inhibitors is discussed. Features: Discusses the concept of Industry 4.0 in corrosion inhibition technology. Explains how agricultural wastes are used in solving global corrosion challenges that aim to demystify machine learning, artificial intelligence, and waste to wealth, in different industries. Reviews in-depth inhibitor application in solving global challenges of housing, transport, oil and gas, among others. Explores impact of corrosion on the environment, sustainability, and governance and economies. Examines corrosion and 3D printing focusing on history, materials, manufacturers, and trends. The book is aimed at researchers and graduate students in corrosion, materials science, and waste processing.

This book is a comprehensive exploration of innovative approaches to addressing pressing global challenges through the lens of sustainability looking into four critical areas—biomedical marvels, waste polymers, corrosion inhibition, and nanotechnology. It takes multidisciplinary approach, bringing together insights from biomedical engineering, materials science, chemistry, and environmental science to offer a holistic perspective on sustainability documenting the latest research and developments in each field.Features:Addresses pressing environmental challenges and offers practical solutions for a more sustainable future.Provides a comprehensive exploration of innovative and eco-conscious approaches to addressing a wider range of pressing global challenges.Features updated research findings and advancements in each field covered.Offers a unique blend of insights from diverse fields such as biomedical engineering, materials science, chemistry, and environmental science.Includes real-world case studies and success stories.This book is aimed at graduate students and researchers in materials, environmental and sustainability engineering.

This book explores the pivotal role that smart materials and energy systems play in driving innovation and sustainability in the Fourth Industrial Revolution (4IR). The book’s chapters cover a wide range of topics, cutting across advanced materials science, energy technologies, and the ongoing digital transformation known as the 4IR. By connecting smart materials to large-scale sustainability efforts and clean energy technologies, this work assists readers looking for solutions to climate change and global energy challenges, broadening its relevance to environmental policy and renewable energy sectors.• Examines the development, classification, and application of smart materials across key industries, emphasizing their role in driving innovation and sustainability.• Dives deeply into the evolving energy landscape and addresses the future of energy systems and clean energy solutions.• Offers authoritative insights and cutting-edge research, ensuring that readers gain access to the latest developments and trends.• Provides a future-oriented analysis of how smart materials can be applied across diverse industries such as renewable energy, nanotechnology, and smart grids.• Involves real-world examples of smart materials used in healthcare, construction, and renewable energy, helping readers understand how these innovations are applied in practice.• Emphasizes sustainability, energy efficiency, and the role of smart materials in addressing global energy challenges.Offering forward-looking insights into emerging technologies and trends in smart materials, energy storage, and clean energy, this book equips readers in materials, chemical, and related engineering disciplines with the knowledge to stay ahead in their fields and adapt to future industry shifts.

Smart thin films, composed of functional materials deposited in thin layers, have opened new avenues for the development of flexible, lightweight, and high-performance devices. Optoelectronics and Spintronics in Smart Thin Films presents a comprehensive overview of this emerging area and details the current and near future integration of smart thin films in solar cells, and memory storage.Offers an overview of optoelectronics and spintronicsDiscusses synthesis of smart nanomaterialsDescribes deposition techniques and characterization of thin filmsConsiders the integration and application of opto-spintronics for technological advancement of solar cells and memory storage devicesFocused on advancing research on this evolving subject, this book is aimed at advanced students, researchers, and engineers in materials, chemical, mechanical, and electrical engineering, as well as applied physics.

Thin Films, Atomic Layer Deposition, and 3D Printing explains the concept of thin films, atomic layers deposition, and the Fourth Industrial Revolution (4IR) with an aim to illustrate existing resources and give a broader perspective of the involved processes as well as provide a selection of different types of 3D printing, materials used for 3D printing, emerging trends and applications, and current top-performing 3D printers using different technologies. It covers the concept of the 4IR and its role in current and future human endeavors for both experts/nonexperts. The book includes figures, diagrams, and their applications in real-life situations.Features: Provides comprehensive material on conventional and emerging thin film, atomic layer, and additive technologies. Discusses the concept of Industry 4.0 in thin films technology. Details the preparation and properties of hybrid and scalable (ultra) thin materials for advanced applications. Explores detailed bibliometric analyses on pertinent applications. Interconnects atomic layer deposition and additive manufacturing.This book is aimed at researchers and graduate students in mechanical, materials, and metallurgical engineering.

While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology.Offers an in-depth overview of the fundamentals of thin film technology, state-of-the-art computational simulation approaches in ALD, ML techniques, algorithms, applications, and challenges.Establishes the need for and significance of ML applications in ALD while introducing integration approaches for ML techniques with computation simulation approaches.Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of deep learning algorithms and generative model benefits in ALD.Helps readers gain a holistic understanding of the exciting applications of ML-based solutions to ALD problems and apply them to real-world issues.Aimed at materials scientists and engineers, this book fills significant knowledge gaps in existing resources as it provides extensive information on ML and its applications in film thin technology. It also opens space for future intensive research and intriguing opportunities for ML-enhanced ALD processes, which scale from academic to industrial applications.

This two-volume work explores the convergence of thin films and 3D printing within the Fourth Industrial Revolution (4IR), targeting engineers, researchers, students, and professionals. The book begins by elucidating Industry 4.0 and its pivotal drivers, emphasizing the integration of advanced digital technologies, automation, and data-driven insights. Subsequent chapters look into the history, properties, and emerging trends of thin films, showcasing their diverse applications in flexible electronics, green hydrogen production, battery technologies, solar technology, and high-performance displays and lighting. Additionally, it explores the transformative role of 3D printing across industries, from aerospace and automotive to healthcare and consumer goods. The work meticulously addresses challenges and opportunities in adopting these technologies, advocating for collaboration, innovation, and continuous improvement. Lastly, it underscores the integration of thin films and 3D printing, highlighting their synergistic potential in driving innovation, customization, and sustainability in manufacturing and beyond. The work serves as an insightful guide, offering valuable perspectives and insights into the applications and relevance of thin films and 3D printing in the 4IR landscape. This second volume deals with concrete applications.

This two-volume work explores the convergence of thin films and 3D printing within the Fourth Industrial Revolution (4IR), targeting engineers, researchers, students, and professionals. The book begins by elucidating Industry 4.0 and its pivotal drivers, emphasizing the integration of advanced digital technologies, automation, and data-driven insights. Subsequent chapters look into the history, properties, and emerging trends of thin films, showcasing their diverse applications in flexible electronics, green hydrogen production, battery technologies, solar technology, and high-performance displays and lighting. Additionally, it explores the transformative role of 3D printing across industries, from aerospace and automotive to healthcare and consumer goods. The work meticulously addresses challenges and opportunities in adopting these technologies, advocating for collaboration, innovation, and continuous improvement. Lastly, it underscores the integration of thin films and 3D printing, highlighting their synergistic potential in driving innovation, customization, and sustainability in manufacturing and beyond. The work serves as an insightful guide, offering valuable perspectives and insights into the applications and relevance of thin films and 3D printing in the 4IR landscape. This first volume deals with fundamental aspects.

This book focuses on Atomic Layer Deposition (ALD) and its applications in the field of green hydrogen energy. It covers the fundamental understanding of how new functional materials can be synthesized by ALD, and provides insights into its use in advanced nanopatterning for microelectronics, energy storage systems, desalination, catalysis, and medical fields. The book also highlights the advancements in computational and experimental methodologies for optimizing ALD processes in the context of green hydrogen energy. The book addresses aspects that might affect deposition and green hydrogen energy, and presents analysis and characterization techniques in the field. With specific examples illustrating the progress in green hydrogen ALD processes and their impact on other technologies, this book aims to enable the reduction of cost, energy waste, and adverse environmental impacts associated with hydrogen energy. It provides a comprehensive overview of ALD technology, hydrogen production, purification, and storage methods, modeling and simulation techniques, analysis and characterization approaches, and future perspectives on green hydrogen energy.

This book discusses corrosion and inhibition using agricultural waste including the impact of corrosion on key emerging technologies such as 3D printing, clean energy, smart coating, and machine learning via environment, sustainability, and governance and economies (ESG) approach. The advantages and disadvantages of using this ecofriendly, sustainable natural product as a corrosion inhibitor over other commercially available corrosion inhibitors is discussed.Features: Discusses the concept of Industry 4.0 in corrosion inhibition technology. Explains how agricultural wastes are used in solving global corrosion challenges that aim to demystify machine learning, artificial intelligence, and waste to wealth, in different industries. Reviews in-depth inhibitor application in solving global challenges of housing, transport, oil and gas, among others. Explores impact of corrosion on the environment, sustainability, and governance and economies. Examines corrosion and 3D printing focusing on history, materials, manufacturers, and trends.The book is aimed at researchers and graduate students in corrosion, materials science, and waste processing.

Thin Film Coatings: Properties, Deposition, and Applications discusses the holistic subject of conventional and emerging thin film technologies without bias to a specific technology based on the existing literature. It covers properties and delves into the various methods of thin film deposition, including the most recent techniques and a direction for future developments. It also discusses the cutting-edge applications of thin film coatings such as self-healing and smart coatings, biomedical, hybrid, and scalable thin films. Finally, the concept of Industry 4.0 in thin film coating technology is examined. This book: Explores a wide range and is not specific to material and method of deposition Demonstrates the application of thin film coatings in nearly all sectors, such as energy and anti-microbial applications Details the preparation and properties of hybrid and scalable (ultra) thin materials for advanced applications Provides detailed bibliometric analyses on applications of thin film coatings Discusses Industry 4.0 and 3D printing in thin film technology With its broad coverage, this comprehensive reference will appeal to a wide audience of materials scientists and engineers and others studying and developing advanced thin film technologies.

Injection Molding Process Modelling presents the application of CAE, statistics and AI in defect identification, control, and optimization of injection molding process for quality production. It showcases CAE in determining the optimal placement of injection points, designing cooling channels, and ensuring that the mold will produce parts with the desired specifications. The book illustrates the capability of the CAE tools to simulate molten plastic flow within a mold during the injection molding process.Explaining how the use of CAE, statistical tools and AI enhances efficiency, accuracy, and collaboration, the book explores the contributions to injection molding in product design and visualization; prototyping and testing; mold design; and analysis and simulation. It emphasizes the integration of statistical tools for optimized efficiency and waste reduction, including statistical process control (SPC), Design of Experiments (DOE), Regression Analysis, Capability Indices, Interaction effects, and many more. The book also illustrates the predictive modelling of typical injection molded product defects using intelligent algorithms.The book will interest industry professionals and engineers working in manufacturing, production, automation, and quality control.

While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology.Offers an in-depth overview of the fundamentals of thin film technology, state-of-the-art computational simulation approaches in ALD, ML techniques, algorithms, applications, and challenges.Establishes the need for and significance of ML applications in ALD while introducing integration approaches for ML techniques with computation simulation approaches.Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of deep learning algorithms and generative model benefits in ALD.Helps readers gain a holistic understanding of the exciting applications of ML-based solutions to ALD problems and apply them to real-world issues.Aimed at materials scientists and engineers, this book fills significant knowledge gaps in existing resources as it provides extensive information on ML and its applications in film thin technology. It also opens space for future intensive research and intriguing opportunities for ML-enhanced ALD processes, which scale from academic to industrial applications.

Smart thin films, composed of functional materials deposited in thin layers, have opened new avenues for the development of flexible, lightweight, and high-performance devices. Optoelectronics and Spintronics in Smart Thin Films presents a comprehensive overview of this emerging area and details the current and near future integration of smart thin films in solar cells, and memory storage.Offers an overview of optoelectronics and spintronicsDiscusses synthesis of smart nanomaterialsDescribes deposition techniques and characterization of thin filmsConsiders the integration and application of opto-spintronics for technological advancement of solar cells and memory storage devicesFocused on advancing research on this evolving subject, this book is aimed at advanced students, researchers, and engineers in materials, chemical, mechanical, and electrical engineering, as well as applied physics.

Thin Films, Atomic Layer Deposition, and 3D Printing explains the concept of thin films, atomic layers deposition, and the Fourth Industrial Revolution (4IR) with an aim to illustrate existing resources and give a broader perspective of the involved processes as well as provide a selection of different types of 3D printing, materials used for 3D printing, emerging trends and applications, and current top-performing 3D printers using different technologies. It covers the concept of the 4IR and its role in current and future human endeavors for both experts/nonexperts. The book includes figures, diagrams, and their applications in real-life situations.Features: Provides comprehensive material on conventional and emerging thin film, atomic layer, and additive technologies. Discusses the concept of Industry 4.0 in thin films technology. Details the preparation and properties of hybrid and scalable (ultra) thin materials for advanced applications. Explores detailed bibliometric analyses on pertinent applications. Interconnects atomic layer deposition and additive manufacturing.This book is aimed at researchers and graduate students in mechanical, materials, and metallurgical engineering.