Shilpi Jindal – författare

Smart materials, often referred to as intelligent or responsive materials, possess unique properties that enable them to respond to external stimuli such as temperature, pressure, light, or magnetic fields. They can change their physical or chemical characteristics in a controlled and predictable manner, making them invaluable for solving complex engineering challenges and driving innovation in science and technology. This new volume offers an understanding of the principles and characteristics of smart materials and provides in-depth discussions of their applications in various domains.The volume outlines the classification, potential, properties, applications, and fabrication techniques of smart materials and discusses graphene-based materials for solar cells, machine learning techniques for smart materials, the impact of smart materials on digital twin, deep learning methods in materials science, and nature-based smart materials. Some applications that are highlighted include smart materials in robotics for industrial manufacturing, using smart materials for the adaptation of electric vehicles, smart materials for the development of devices in healthcare, using intelligent materials in 4D printing technology, and more.

Smart materials, often referred to as intelligent or responsive materials, possess unique properties that enable them to respond to external stimuli such as temperature, pressure, light, or magnetic fields. They can change their physical or chemical characteristics in a controlled and predictable manner, making them invaluable for solving complex engineering challenges and driving innovation in science and technology. This new volume offers an understanding of the principles and characteristics of smart materials and provides in-depth discussions of their applications in various domains.The volume outlines the classification, potential, properties, applications, and fabrication techniques of smart materials and discusses graphene-based materials for solar cells, machine learning techniques for smart materials, the impact of smart materials on digital twin, deep learning methods in materials science, and nature-based smart materials. Some applications that are highlighted include smart materials in robotics for industrial manufacturing, using smart materials for the adaptation of electric vehicles, smart materials for the development of devices in healthcare, using intelligent materials in 4D printing technology, and more.