The focus of this book is synthesis and optical studies of self-assembled quantum dots (QDs) with particular consideration given to the capability to control nanoelectronics properties via structural modifications. Furthermore, it is devoted to new nanotechnology tools and technological procedures useful for the developed community of science, society, improved economy and best future. The newest addition is exploring the application of artificial intelligence (AI) techniques in synthesis and optimization of quantum dots. AI-driven design utilizes machine learning algorithms to predict the properties of synthesis condition-, composition- and size-based quantum dots. AI can achieve optimal conditions for desired optical and electronic characteristics. But the processing optimizes the synthesis of QDs. AI is recommended to improve functionality and uniformity of QDs. AI predict optical properties that bases on particle shape and size, enabling rapid screening of potential quantum dot configurations.

Key Features:

• Provides a comprehensive overview of a wide range of materials and related properties.

• Includes the fundamentals, characterization, and applications.

• Considers the capability to control nanoelectronics properties.

• Presents advances and advantages.

• Fundamental, characterisation and application will be shared to impetus all to understand it.