Sarabjeet Kaur – författare

This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.

This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.

This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.

This book presents a comprehensive exploration of cutting-edge research and innovations driving sustainability across energy, environment, materials, and intelligent systems. Bringing together multidisciplinary perspectives, the book highlights how advanced physics, chemistry, artificial intelligence, data science, and manufacturing technologies are shaping a greener, more resilient future.The book is organized into thematic tracks covering energy conversion and storage, environmental and atmospheric physics, green and sustainable chemistry, materials chemistry for energy and environment, mathematical modeling and simulation, data science, AI and IoT for sustainability, and advanced manufacturing. It features state-of-the-art studies on renewable energy systems, smart grids, climate and environmental monitoring, sustainable materials and composites, green nanotechnology, and next-generation coatings. Significant emphasis is placed on AI-driven modeling, machine learning, digital twins, and IoT frameworks for optimizing resource use, enhancing healthcare, agriculture, cybersecurity, and smart infrastructure. The contributions collectively demonstrate how computational intelligence and advanced materials enable efficient energy management, environmental protection, and circular-economy practices, supported by experimental, analytical, and simulation-based findings.This book is intended for researchers, academicians, postgraduate students, and industry professionals working in sustainability, energy systems, materials science, environmental engineering, artificial intelligence, and applied computational sciences, as well as policymakers seeking research-driven insights for sustainable development.