“Materials Informatics: Methodological Aspects, Practical Applications” is a comprehensive guide for readers interested in the field of materials science, data mining, and machine learning applications. Written by a team of experts, this book provides readers with all the necessary information to apply the power of informatics into materials research.
The first part of the book focuses on methodological aspects, including the development of software, databases, high-throughput computational methods, and other related activities. Readers will learn about open quantum materials databases, the ICSD database, open crystallography databases, and more.
In the second part of the book, practical applications of data mining and machine learning are addressed. Case studies are used to illustrate the power of using materials informatics to guide experimental discovery of new materials, and readers will learn how to use various tools and software to analyze and visualize data.
Overall, “Materials Informatics” provides a comprehensive overview of the latest developments and techniques in the fields of materials science, informatics, and machine learning, making it an essential resource for researchers and practitioners in this field.
В книге представлен анализ последних методов, программного обеспечения и инструментов в материаловедении. Издание предоставляет всю необходимую информацию для эффективного применения информатики в материаловедческих исследованиях.
Электронная Книга «Materials Informatics» написана автором Группа авторов в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9783527802258
Описание книги от Группа авторов
Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics -Covers all the known methodologies and applications of materials informatics -Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used today Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.
