Books in Physical sciences and engineering

Additive Manufacturing of Advanced Ceramic Materials

1st Edition
January 1, 2026
Chaudhery Mustansar Hussain
English
Paperback
9 7 8 0 4 4 3 3 3 9 8 8 2
eBook
9 7 8 0 4 4 3 3 3 9 8 9 9

Advanced ceramics exhibit exceptional properties such as high-temperature resistance, superior strength, and excellent electrical and thermal conductivity, making them integral in various industries like aerospace, healthcare, and electronics. However, traditional manufacturing methods for ceramics still pose various challenges for achieving intricate designs and complex structures. Additive Manufacturing of Advanced Ceramic Materials provides a comprehensive exploration of additive manufacturing techniques that are tailored to overcome these challenges, offering researchers, engineers, and industry professionals a roadmap to harness the full potential of advanced ceramics through innovative 3D printing and related processes. The reader will gain valuable insights into the intricacies of additive manufacturing processes such as selective laser sintering, binder jetting, and stereolithography as applied to ceramics, along with discussions on material properties, design considerations, and post-processing techniques. Additionally, the book explores emerging trends such as multi-material printing, hybrid manufacturing, and the integration of advanced characterization techniques, empowering readers to leverage additive manufacturing technologies to innovate and optimize the production of high-performance ceramic components for various applications ranging from aerospace and automotive to biomedical and electronics industries.

Green Carbon Dots for Theranostic Applications

1st Edition
January 1, 2026
Hamed Barabadi + 1 more
English
Paperback
9 7 8 0 4 4 3 3 4 1 2 1 2
eBook
9 7 8 0 4 4 3 3 4 1 2 2 9

Green Carbon Dots for Theranostic Applications: Synthesis, Characterization and Applications addresses the growing need for environmentally friendly and sustainable materials in the field of biomedicine. Carbon dots, a class of carbon-based nanoparticles, offer unique optical properties and biocompatibility compared to traditional semiconductor-based nanomaterials, providing a promising alternative by utilizing renewable and low-cost carbon sources and employing eco-friendly synthesis methods. A wide range of theranostic applications for green carbon dots are thoroughly reviewed, including bioimaging, drug delivery, cancer therapy, and many more. Green Carbon Dots for Theranostic Applications: Synthesis, Characterization and Applications provides a comprehensive understanding of green carbon dots and their applications in theranostics, with a focus on bridging sustainable nanotechnology and biomedical innovation. This book is of interest to academics and researchers working in the fields of materials science, nanotechnology, biomedical engineering, and pharmaceutical science.

Microbial Corrosion and Deterioration of Engineering Materials

1st Edition
January 1, 2026
Reza Javaherdashti
English
Paperback
9 7 8 0 4 4 3 3 4 1 2 3 6
eBook
9 7 8 0 4 4 3 3 4 1 2 4 3

Microbial Corrosion and Deterioration of Engineering Materials: Analysis and Mitigation Techniques for Engineers aims to fill the gap between research and engineering practice when it comes to microbially influenced corrosion (MIC) and deterioration (MID). The book provides practical information to aid decision-making in addressing corrosion threats through clear guidelines for MIC/MID assessment, mitigation, and monitoring based on various materials and industries. Different MIC/MID types, mechanisms, and techniques for control and prevention are outlined. Chapters cover the environmental aspects of corrosion, the distinction between corrosion control and corrosion prevention, and microbial induced corrosion and deterioration in concrete, metals, polymers, and composites. The book emphasizes the consideration of both tactics and strategy when dealing with MIC/MID, with a particular focus on cathodic protection. A chapter featuring practical field-tested tips to assist field engineers with MIC/MID is included, and case studies are featured throughout.

Solar-Driven Photothermal Membrane Distillation

1st Edition
January 1, 2026
Manoj Kumar Sharma + 1 more
English
Paperback
9 7 8 0 4 4 3 3 4 2 4 2 4
eBook
9 7 8 0 4 4 3 3 4 2 4 3 1

Solar-driven Photothermal Membrane Distillation: Assessment, Advances, and Challenges explores the intersection of renewable energy, water treatment, membrane technology, and sustainable development. It focuses on membrane distillation, a promising technology for desalination and water purification, and specifically examines the use of solar energy to drive the distillation process. The book addresses challenges and provides practical solutions for implementing and optimizing solar-driven photothermal membrane distillation systems, emphasizing the importance of sustainable water treatment technologies in ensuring water security and environmental conservation. Solar-driven Photothermal Membrane Distillation: Assessment, Advances, and Challenges is a valuable resource for researchers, engineers, practitioners, policymakers, and educators interested in advancing knowledge and promoting the adoption of solar-driven membrane distillation for sustainable water treatment.

Hungarian Quantum Chemistry: Part A - Early and Recent History

1st Edition
Volume 93
January 1, 2026
Peter Surján + 1 more
English
Hardback
9 7 8 0 4 4 3 3 4 4 3 7 4
eBook
9 7 8 0 4 4 3 3 4 4 3 8 1

Hungarian Quantum Chemistry: Part A – Early and Recent History, Volume 93 in the Advances in Quantum Chemistry series, highlights the historical and contemporary contributions of scientists to the field of molecular electronic structure theory. This volume offers a curated collection of chapters detailing the pioneering developments, influential researchers, and academic institutions that shaped quantum chemistry in Hungary and beyond. From foundational theoretical work to advancements in applications across chemistry and biology, the volume provides both scholarly reflection and technical insight into decades of quantum chemical innovation. It also showcases the ongoing legacy of Hungarian quantum chemists through personal narratives, historical retrospectives, and institutional profiles.

Deep Learning for Synthetic Aperture Radar Remote Sensing

1st Edition
January 1, 2026
Michael Schmitt + 1 more
English
Paperback
9 7 8 0 4 4 3 3 6 3 4 4 3
eBook
9 7 8 0 4 4 3 3 6 3 4 5 0

Deep Learning for Synthetic Aperture Radar Remote Sensing delves into the transformative synergy between synthetic aperture radar (SAR) and cutting-edge machine learning techniques. Traditionally rooted in signal processing, SAR's active imaging capabilities rise above optical limitations, offering resilience to environmental factors like cloud cover. This book showcases how machine learning augments every stage of SAR image processing, from raw data refinement to advanced information extraction. Through comprehensive coverage of acquisition modes and processing methodologies, including polarimetry and interferometry, this book equips readers with the tools to harness SAR's full potential. Aiming to further enhance remote sensing imaging, it serves as a vital resource for those seeking to integrate SAR data seamlessly into the modern machine learning landscape. Deep Learning for Synthetic Aperture Radar Remote Sensing addresses a critical gap in the intersection of SAR technology and machine learning, offering a pioneering roadmap for researchers and practitioners alike. With its emphasis on modern techniques, it serves as a catalyst for unlocking SAR's untapped potential and shaping the future of Earth observation.

Data Science for Teams

1st Edition
January 1, 2026
Harris V. Georgiou
English
Paperback
9 7 8 0 4 4 3 3 6 4 0 6 8
eBook
9 7 8 0 4 4 3 3 6 4 0 7 5

Managing human resources, time allocation, and risk management in R&D projects, particularly in Artificial Intelligence/Machine Learning/Data Analysis, poses unique challenges. Key areas such as model design, experimental planning, system integration, and evaluation protocols require specialized attention. In most cases, the research tends to focus primarily on one of the two main aspects: either the technical aspect of AI/ML/DA or the teams’ effort, or the typical management aspect and team members’ roles in such a project. Both are equally import for successful real-world R&D, but they are rarely examined together and tightly correlated. Data Science for Teams: 20 Lessons from the Fieldwork addresses the issue of how to deal with all these aspects within the context of real-world R&D projects, which are a distinct class of their own. The book shows the everyday effort within the team, and the adhesive substance in between that makes everything work. The core material in this book is organized over four main Parts with five Lessons each. Author Harris Georgiou goes into the difficulties progressively and dives into the challenges one step at a time, using a typical timeline profile of an R&D project as a loose template. From the formation of a team to the delivery of final results, whether it is a feasibility study or an integrated system, the content of each Lesson revisits hints, ideas and events from real-world projects in these fields, ranging from medical diagnostics and big data analytics to air traffic control and industrial process optimization. The scope of DA and ML is the underlying context for all, but most importantly the main focus is the team: how its work is organized, executed, adjusted, and optimized. Data Science for Teams presents a parallel narrative journey, with an imaginary team and project assignment as an example, running an R&D project from day one to its finish line. Every Lesson is explained and demonstrated within the team narrative, including personal hints and paradigms from real-world projects.

Adaptive AI in Sensor Informatics

1st Edition
January 1, 2026
Karthik Ramamurthy + 4 more
English

Adaptive AI in wireless sensor networks is crucial for ensuring user understanding and confidence in AI outputs across fields such as healthcare, environmental monitoring, smart cities, and industrial automation. It enables compliance with regulations specific to these domains and encourages the design of user-centric AI systems that align with human values and operational requirements. Adaptive AI in Sensor Informatics delves into the need for efficiency, interpretability, and reliability in Adaptive AI systems that are designed specifically for wireless sensor networks and related domains. It sheds light on how Adaptive AI can provide decisions made by AI models, facilitating effective collaboration between humans and AI within the context of wireless sensor networks. The book serves as a comprehensive guide for academics, professionals, and students interested in the intersection of adaptive AI and wireless sensor networks. It examines the challenges and opportunities inherent in deploying Adaptive AI in these contexts and offers practical insights into methods, approaches, and best practices for developing and deploying AI models that are both understandable and reliable within wireless sensor networks.

Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions

1st Edition
January 1, 2026
Mrinmoy Majumder + 3 more
English
Paperback
9 7 8 0 4 4 3 3 6 4 2 8 0
eBook
9 7 8 0 4 4 3 3 6 4 2 9 7

Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions is a comprehensive guide that explores the role of hydroinformatics in managing peri-urban watersheds amidst challenges such as climate change and urbanization.Leverag... artificial intelligence, data science, and Internet of Things, this book presents innovative strategies for optimal management of natural resources. The book uniquely combines theory and case studies to illustrate the application of data science, AI, and other technologies in assessing vulnerabilities and developing mitigation strategies for peri-urban watersheds.Readers will find Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions an invaluable resource for understanding and applying hydroinformatics to address their water-related challenges.

Artificial Intelligence for Energy Efficiency

1st Edition
January 1, 2026
Dasheng Lee + 2 more
English
Paperback
9 7 8 0 4 4 3 3 6 7 2 9 8
eBook
9 7 8 0 4 4 3 3 6 7 3 0 4

Artificial Intelligence for Energy Efficiency is a comprehensive exploration of AI application technologies. The book integrates AI algorithms with the operational principles of electrical machinery and energy systems and introduces how these algorithms can alter the operational characteristics of such systems. With a focus on their use in enhancing energy efficiency, it imparts interdisciplinary knowledge and a deep understanding of the principles and methods of AI applications. The book begins with an overview of global trends in enhancing energy efficiency, followed by an introduction to AI algorithms applied in this field. Subsequent chapters, supported by industry case studies, delve into AI applications in enhancing motor efficiency, building and energy saving for building equipment, and smart city development. The book also addresses AI computing power saving and discusses the evolution of AI and the limits of energy efficiency improvement. It concludes with future prospects and the most beneficial application of AI for sustainable human development. Artificial Intelligence for Energy Efficiency is an essential read for graduate students in mechanical, electrical, architectural, and energy-related fields, as well as researchers interested in the intersection of AI and energy efficiency. This comprehensive guide offers a wealth of research case studies, making it a valuable reference tool for professionals in the energy sector.

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