Offers an overview of optoelectronics and spintronics/magnetism Discusses synthesis of smart nanomaterials Describes deposition techniques and characterization of smart thin films Reviews optoelectronics and spintronics in smart thin films Considers the integration and application of magneto-optoelectronics for technological advancement of solar cells, sensors, and memory storage devices

Offers an overview of optoelectronics and spintronics/magnetism Discusses synthesis of smart nanomaterials Describes deposition techniques and characterization of smart thin films Reviews optoelectronics and spintronics in smart thin films Considers the integration and application of magneto-optoelectronics for technological advancement of solar cells, sensors, and memory storage devices

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 modelling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modelling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modelling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, the 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. . .

It explains concept of thin films, atomic layers deposition, and the fourth industrial revolution (4IR) with aim to illustrate existing resources and gives a broader spectrum involved processes, provide a selection of difference 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 endeavour for both experts/non-experts. The book includes figures, diagrams, and their application 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.

This is introductory book for researchers, scientists and students in the area of organic and inorganic composite materials. This book has addressed timely the innovative topic "chalcogenide-multiwalled carbon nanotubes and chalcogenide-bilayer graphene" composite materials under a glassy regime. This book will give a clear idea on the concepts of the newly established composite materials area, by providing interpretations of inside physio-chemical mechanism. The remarkable landmark innovations related to this newly introduced research field are included in this book. Additionally, the possible futuristic applications in the area of nanoelectronics, optoelectronics, biomedical etc are also addressed.

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.