[Book] Materials Informatics…(No2117)

【Free trial available・Specialized books】★ Reducing the cost of data collection, data preprocessing, designing descriptors, improving model prediction accuracy!

Book Title: Data Creation and Its Analysis and Application Cases for Materials Informatics ■ Key Points of This Book - Policies of various countries and the development of databases - A system for organizing, managing, and extracting scattered data into a database - Skills required for data scientists and data engineers, and efforts for their development - Acquisition of large amounts of data through automation of experiments and improvement of data reliability - Data collection techniques using IoT technology - Key points for designing descriptions that appropriately represent features - Construction of predictive models and exploration of feature candidates - Types of algorithms, their characteristics, and selection - Predictions from limited data using sparse modeling - Inverse problem analysis using neural networks - Materials development using explainable machine learning - Development of algorithms for multi-objective optimization - Analysis of spectral data using machine learning - Design of polymer materials achieving multiple physical properties simultaneously - Building predictive models to overcome data shortages and missing data - Feature extraction through microstructure image analysis of metallic materials - Exploration of optimal film formation process conditions

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