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The document discusses the application of machine learning (ML) in materials science, focusing on predicting material properties, searching materials space, and accelerating characterization processes. It outlines the use of regression and classification models for property predictions, emphasizing the importance of leveraging existing data to enhance materials discovery. Additionally, it provides definitions and examples related to formation energy, convex hulls, and various material properties such as ban
- Author
- A. Kedharnath
- Language
- EN