Presents novel, nanotechnology-based solutions for urgent environmental engineering problems Clear and concise from beginning to end, this book focuses on the design and application of artificially intelligent nanomaterials, which help in solving many tangible environmental problems?especially water and air pollution. It lays out the design concepts, major chemical principles, and materials considerations of artificially intelligent nanomaterials for environmental engineering, and provides proof-of-concept examples such as improved filtration membranes, nanofibrous air filters, and molecularly imprinted nanomaterials. Artificially Intelligent Nanomaterials: For Environmental Engineering starts by describing the background of environmental nanotechnology, the rise of Artificial Intelligence (AI), and the current status of AI in environmental engineering. It then looks at: intelligently functional materials and responsive mechanisms; designing filtration membranes with responsive gates; switchable wettability materials for controllable oil/water separation; and self-healing materials for environmental applications. The book continues with chapters that examine: emerging nanofibrous air filters for PM2.5 removal; self-propelled nanomotors for environmental applications; molecular imprinting in wastewater treatment; and emerging synergistically multifunctional and all-in-one nanomaterials and nanodevices in advanced environmental applications. -Presents the state-of-the-art in environmental technology and puts forward bold ideas for its advancement -Addresses global challenges, including all important water and air quality which are critical for human health and a sustainable future -Concentrates on nanotechnology-enabled solutions for pollutant removal from water and air Artificially Intelligent Nanomaterials: For Environmental Engineering is an ideal book for undergraduates, graduates, scientists, and professionals in the fields of environmental science, material science, chemistry, and chemistry engineering.

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research. - Includes recent advances on AI-enhanced design, characterization and the manufacturing of nanomaterials - Reviews AI technologies that have been enabled by nanotechnology - Discusses potentially world-changing applications that could ensue as a result of merging these two fields

Nanotechnology is the twenty-first century revolution that has impacted each and every aspect of life despite its small size. As nanoscale research continues to advance, scientists and engineers are developing new applications for many different disciplines, including environmental applications. Nanotechnology Applications in Environmental Engineering contains innovative research on nanomaterials and their impact on the environment. It also explores the current and potential future applications of nanodevices in environmental science and engineering, showcasing how nanomaterials can be tailored to address some of the environmental remediation and sensing/detection problems faced today. While highlighting topics such as environmental science, nanomaterials, and membrane technology, this book is ideally designed for environmental scientists, nanotechnologists, chemists, engineers, and individuals seeking current research on nanotechnology and its applications in environmental engineering.

Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures. FEATURES Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability. This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

In the world of academia, scholars and researchers are confronted with a rapidly expanding knowledge base in Artificial Intelligence (AI) and nanotechnology. The integration of these two groundbreaking fields presents an intricate web of concepts, innovations, and interdisciplinary applications that can overwhelm even the most astute academic minds. Staying up to date with the latest developments and effectively navigating this complex terrain has become a pressing challenge for those striving to contribute meaningfully to these fields. Artificial Intelligence in the Age of Nanotechnology is a transformative solution meticulously crafted to address the academic community's knowledge gaps and challenges. This comprehensive book serves as the guiding light for scholars, researchers, and students grappling with the dynamic synergy between AI and Nanotechnology. It offers a structured and authoritative exploration of the core principles and transformative applications of these domains across diverse fields. By providing clarity and depth, it empowers academics to stay at the forefront of innovation and make informed contributions.

This book examines a wide range of emerging sources of water pollution. It consists of thirteen chapters dedicated to the topic, giving readers comprehensive information about the types of contaminants involved and the solutions for their removal. The first five chapters present an analysis of the emerging water pollutants, their toxicities, and the legislations available to monitor and regulate their emissions. This introduction is followed by 3 chapters that cover risk assessment of emerging pollutants, their fate and life cycle assessment. The last section of the book goes through the details of remediation technologies for wastewater treatment. This reference is equally suitable for academia, industry professionals and students, presenting state-of-the-art learnings on emerging water pollutants and their remediation methods.

The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.