Data Science for Nano Image Analysis

This book combines data science/image analysis and materials science to solve nano material problems. It benefits materials scientists and manufacturing engineers who need systematic data science training and data scientists who want to work on material image problems. It covers a broad set of data science methods,including representations of images, shape analysis, image pattern analysis, and analysis of streaming images, and provides specific material science case studies.

Format: Hardback
Length: 368 pages
Publication date: 01 August 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book seamlessly blends two distinct fields: data science/image analysis and materials science. Its primary objective is to unveil the optimal set of data science methodologies for addressing various nano material challenges. Traditionally, most material science research has been conducted by domain-specific experts in fields such as material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. However, this book offers immense benefits to materials scientists and manufacturing engineers who may have received limited systematic training in data science during their academic journey, as well as data scientists from computer science or statistics disciplines who are interested in working on material image problems or contributing to materials discovery and optimization.

In-depth discussions are presented within the book, exploring how data science and operations research methods can revolutionize nano image analysis, automating the otherwise manual and time-consuming operations in material engineering and bolstering decision-making processes in nano material exploration. A wide range of data science methods are covered, encompassing various representations of images, shape analysis, image pattern analysis, and the analysis of streaming images. These methods include change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methodologies are contextualized within the realm of nano image applications, with specific material science case studies highlighting their practical applications.

By amalgamating these two fields, this book presents a holistic approach to tackling complex nano material problems. It equips professionals with the necessary tools and knowledge to leverage data science and operations research methodologies, enabling them to make informed decisions and drive innovation in the field of materials science. Whether you are a materials scientist seeking to enhance your understanding of data-driven approaches or a data scientist interested in expanding your expertise into the realm of materials, this book is an invaluable resource for advancing your knowledge and expertise in this rapidly evolving field.

Weight: 740g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030728212
Edition number: 1st ed. 2021