Machine Learning for Advanced Functional Materials

The book "Machine Learning for Advanced Functional Materials" provides a comprehensive overview of the latest advancements in the application of machine learning in materials science and nanotechnology. It is aimed at professionals and students interested in modeling and data analysis of material properties. The authors, Nirav Joshi, Priyanka Madhushri, and Vinod Kushvaha, highlight how machine learning can help improve the electrical and mechanical properties of materials. By discussing regression methods for supervised learning and the optimization of material attributes, the book fosters a deep understanding of the possibilities these technologies offer. It serves as a valuable scientific reference that addresses current topics in materials science and emphasizes the growing importance of machine learning in the development of functional nanomaterials such as sensors, solar cells, and photocatalysts.