Foundations of Materials Informatics

Are you ready to revolutionize how materials are discovered and developed? Materials informatics offers powerful data-driven approaches to overcome traditional bottlenecks in materials science and engineering. This course will enable you to grasp the foundational concepts and practical applications of materials informatics, empowering you to approach materials research and development with modern data-driven strategies. What you'll learn: * Understand the core principles and workflow of materials informatics. * Learn to identify and utilize common materials databases and data sources. * Apply fundamental data preprocessing and feature engineering techniques for materials data. * Build basic machine learning models for predicting material properties. * Grasp the importance of data representation and descriptors in materials science. * Analyze model performance using essential evaluation metrics and cross-validation methods. * Explore the concepts of high-throughput computational screening and experimental design. The course begins with foundational definitions and data types, progresses through data handling and machine learning basics, and concludes with practical applications in materials design and discovery. This course is designed for absolute beginners in materials informatics, including materials scientists, engineers, chemists, and data enthusiasts with no prior experience in the field. No prerequisites are required. Start your journey into the exciting world of data-driven materials innovation today.