Mohammad Reza Saeb – författare

Analysis of Flame Retardancy in Polymer Science is a scientific/practical book that is conceptualized, designed, and written for students, early-career researchers, and junior engineers to explain the basic principles of fire analysis/characterization methods/methodologies, from flammability, ignition, and fire spread to forced convection and related analyses and to elucidate the mechanisms underlying flame retardancy in both gas and condensed phases followed by correlation between laboratory- and real-scale fire analyses as well as fire analysis from an industrial standpoint. This book is also an indispensable resource for identifying and mounting the latest achievements in fire analysis/characterization methods to frame the effects of fire evaluation strategies to be utilized for research and development. The book also gives a broad description of fire analysis related to different standards and regulations for different applications in different geographic zones. Includes the background, fundamental, and modern features of techniques of characterization of fire and flame behavior Provides an overview of the major techniques used in fire analysis of flame-retardant polymers Characterizes different types of materials at small, bench, and real-life scale Offers a comprehensive overview of fire behavior and testing and associated toxicity issues Integrates the scientific, technical, standard, regulation, and industrial aspects of fire analysis into a book for future developments in the field

Artificial Intelligence in Biomaterials Design and Development delves into the transformative role of artificial intelligence, particularly machine learning, in creating new biomaterials. Traditional challenges in this field, such as chemical waste, spatial constraints, and inadequate tools, have hindered the swift design and synthesis of versatile biomaterials. Machine learning methods address these barriers by enhancing discovery and development processes, reducing time, costs, and wastage. Generative models now enable the creation of novel molecular structures with desired properties, making inverse materials design a reality. This book is essential for those in materials science, machine learning, and biomedical engineering.Additionally, this comprehensive resource explores the application of AI in various aspects of biomaterials science, from computational engineering to data science. The book provides insights into how novel machine learning models can expedite materials discovery and improve accuracy. It is an invaluable guide for academics and industry professionals alike, seeking to leverage AI for innovative biomaterials research and development.

Introduces the reader to core concepts in AI and machine learning in the context of biomaterials, as well as providing practical examples to aid understandingThoroughly reviews the role of AI and machine learning in the synthesis, characterization, and applications of novel biomaterialsDelivers in-depth coverage of discriminative and generative models for properties prediction and de novo materials design/discovery

Flame Retardant Selection for Polymers provides readers with step-by-step guidance on how to select and apply flame retardants for polymers. Written by experts in the field of flame retardancy worldwide, this book seeks to consider the types of polymers and their applications in different sectors, providing in-depth information about the beneficial aspects of choosing each sort of flame retardant and supporting readers in selection of the best flame retardant additives. Regional and global features of flame retardant development and legislations as well as future perspective from circularity viewpoint are also covered.This book is a practical guide and valuable resource to researchers and industrial professionals interested in fundamental principles of flame retardant selection for polymers, as well as the basic needs for processing and commercialization of flame retardant polymers.

Overviews main features of flame retardant selection for polymers, depending on the chemistry of polymers, application, processing, and sustainabilityProvides both the background and advanced features of flame retardants from both academic and industrial viewpointsDiscusses regional and global information and knowledge about the selection of flame retardants for polymers based on legislations and regulations

Sustainable Additives in Polymer Technology provides a comprehensive guide to bio-based additives for polymers, balancing both fundamental and advanced information. The book aims to offer practical guidance for researchers and industry professionals on selecting, ranking, formulating, and applying these additives in polymer manufacturing. Each additive's role in the industry and its mechanisms of action are thoroughly covered, offering readers a complete understanding of their applications. The book is divided into several parts: an overview of bio-based additives, industrial and research developments, classification of materials, advantages and challenges, as well as the mechanisms of performance.It also delves into the economic aspects and commercial grades of each additive family, concluding with future research directions and developments.

Analyzes a wide range of sustainable additives, their current use in industry, and potential future applicationsExplores the selection criteria of bio-based additives for the sustainable development of polymer materials based on their physico-chemical propertiesProvides practical guidance on how to select, rank, formulate, and apply bio-based additives in polymer manufacturing processes