Rakesh Sehgal – författare

Conjugated Polymers for Next-Generation Applications, Volume One: Synthesis, Properties and Optoelectrochemical Devices describes the synthesis and characterization of varied conjugated polymeric materials and their key applications, including active electrode materials for electrochemical capacitors and lithium-ion batteries, along with new ideas of functional materials for next-generation high-energy batteries, a discussion of common design procedures, and the pros and cons of conjugated polymers for certain applications. The book's emphasis lies in the underlying electronic properties of conjugated polymers, their characterization and analysis, and the evaluation of their effectiveness for utilization in energy and electronics applications.

This book is ideal for researchers and practitioners in the area of materials science, chemistry and chemical engineering.

Conjugated Polymers for Next-Generation Applications, Volume Two: Energy Storage Devices describes the synthesis and characterization of varied conjugated polymeric materials and their key applications, including active electrode materials for electrochemical capacitors and lithium-ion batteries, along with new ideas of functional materials for next-generation high-energy batteries, a discussion of common design procedures, and the pros and cons of conjugated polymers for certain applications. The book's emphasis lies in the underlying electronic properties of conjugated polymers, their characterization and analysis, and the evaluation of their effectiveness for utilization in energy and electronics applications.

This book is ideal for researchers and practitioners in the area of materials science, chemistry and chemical engineering.

Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems.

The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples.

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:

This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:

This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

This book provides an overview of the use of various waste materials in pavement construction and their potential impact on sustainable infrastructure development. It explores the use of waste materials as alternatives to traditional pavement materials like asphalt and concrete. It discusses the properties and performance of various waste materials and their applications in pavement construction, highlighting the economic and environmental benefits such as reduced greenhouse gas emissions, lower construction costs, and enhanced durability and longevity of pavements.

Features:

This book is aimed at researchers and graduate students in pavement and civil engineering.

This book provides an overview of the use of various waste materials in pavement construction and their potential impact on sustainable infrastructure development. It explores the use of waste materials as alternatives to traditional pavement materials like asphalt and concrete. It discusses the properties and performance of various waste materials and their applications in pavement construction, highlighting the economic and environmental benefits such as reduced greenhouse gas emissions, lower construction costs, and enhanced durability and longevity of pavements.

Features:

This book is aimed at researchers and graduate students in pavement and civil engineering.

This book explores upconversion nanoparticles (UCNPs) at both, the fundamental as well as applied levels, for functional applications. It provides a broad perspective about the synthesis approaches of UCNPs with the preferred size, improved and tunable upconversion luminescence, along with the combined multifunctionality for various applications. It highlights the fundamentals and systematic developments in the tuning of UC emission and surface engineering of UCNPs that make UCNPs convenient for use in a large range of applications. Moreover, it gives an understanding of the imposed limitations and challenges associated with these methods to achieve the desired performance in targeted applications. It also includes the latest multifunctional lanthanide-based UCNPs, which efficiently convert low-energy photons into high-energy photons, and their applications in fluorescent microscopy, deep-tissue bioimaging, nanomedicine, optogenetics, solid-state lighting, solar cells, security labeling, and volumetric display.