Machine Learning for Advanced Functional Materials

Chapter 1 Solar Cells and Relevant Machine Learning

Chapter 2 Machine Learning-Driven Gas Identification in Gas Sensors

Chapter 4 Potential of Machine Learning Algorithms in Material Science: Predictions in Design, Properties, and Applications of Novel Functional Materials

Chapter 5 The Application of Novel Functional Materials to Machine Learning

Chapter 6 Recent Advances in Machine Learning for Electrochemical, Optical, and Gas Sensors

Chapter 7 Perovskite-Based Materials for Photovoltaic Applications: A Machine Learning Approach

Chapter 8 A Review of the High-Performance Gas Sensors Using Machine Learning

Chapter 9 Machine Learning for Next‐Generation Functional Materials

Chapter 10 Contemplation of Photocatalysis Through Machine Learning

Chapter 11 Discovery of Novel Photocatalysts Using Machine Learning Approach

Chapter 12 Machine Learning in Impedance-Based Sensors

Chapter 13 Machine Learning in Wearable Healthcare Devices