| 书目名称 | Materials Informatics and Catalysts Informatics | | 副标题 | An Introduction | | 编辑 | Keisuke Takahashi,Lauren Takahashi | | 视频video | | | 概述 | Designed for true beginners in regards to data science or programming languages.Guides students towards setting up a functional materials informatics environment.Includes case studies using real mater | | 图书封面 |  | | 描述 | This textbook is designed for students and researchers who are interested in materials and catalysts informatics with little to no prior experience in data science or programming languages. Starting with a comprehensive overview of the concept and historical context of materials and catalysts informatics, it serves as a guide for establishing a robust materials informatics environment. This essential resource is designed to teach vital skills and techniques required for conducting informatics-driven research, including the intersection of hardware, software, programming, machine learning within the field of data science and informatics. .Readers will explore fundamental programming techniques, with a specific focus on Python, a versatile and widely-used language in the field. The textbook explores various machine learning techniques, equipping learners with the knowledge to harness the power of data science effectively. The textbook provides Python code examples, demonstrating materials informatics applications, and offers a deeper understanding through real-world case studies using materials and catalysts data. This practical exposure ensures readers are fully prepared to embark o | | 出版日期 | Textbook 2024 | | 关键词 | Materials Informatics; Catalysts Informatics; Data Science; Machine Learning; Materials Science & Engine | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-0217-6 | | isbn_softcover | 978-981-97-0219-0 | | isbn_ebook | 978-981-97-0217-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 20:04:34
