Materials informatics is an interdisciplinary field that combines materials science, data science, and computational methods to accelerate the discovery, development, and optimization of materials. It utilizes techniques from machine learning, data mining, and statistical analysis to analyze large datasets related to materials properties, structures, and performance. Key aspects of materials informatics include: 1. **Data Collection and Management**: Gathering and organizing extensive datasets from experiments, simulations, and existing literature.

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