دانلود کتاب هوش مصنوعی در علم پلیمر و آزمایشگاه‌های مستقل فناوری نانو

In many scientific fields, including polymer science and nanotechnology, artificial intelligence (AI) is transforming research approaches. This interdisciplinary collaboration promises faster discovery, material design, a better knowledge of structureproperty correlations, and greater customization and innovation potential. This book explores the role of AI in polymer design and characterization. The chapters discuss a wide range of subjects, including autonomous self-driving labs for material innovation and AI-enhanced polymeric drug delivery systems. To address difficult design problems, forecast polymer properties, enhance material performance, and uncover underlying relationships between structure and functioning, the book additionally discusses the use of machine learning in materials science. The aims of the book are: to inspire future research at the intersection of data science, material informatics, nanotechnology, and polymer engineering; to introduce readers the basic and emerging applications of AI in polymer and nanomaterial research; to outline the technologies, methodologies, and frameworks reshaping material discovery; and to demonstrate the role of AI to develop autonomous, predictive, and scalable research models. The book is aimed at a wide range of readers, including research scientists, graduate and postgraduate students, academic scholars, industry engineers, and technology developers, who are interested in the exciting convergence of AI and materials science. It provides useful perspectives and practical insights for academics and industrial experts.