Materials Informatics III

Part 1. Introduction.- Introduction to Machine Learning for Predictive Modeling II.- Introduction to predicting properties of organic materials.- Part 2. Cheminformatic and Machine Learning Models for Polymers.- Machine Learning Applications in Polymer Informatics – An Overview.- Applications of predictive modeling for selected properties of polymers.- Polymer Property Prediction using Machine Learning.- Applications of predictive modeling for polymers.- Part 3. Cheminformatic and Machine Learning Models for Solvents.- Applications of predictive QSPR modeling for deep eutectic solvents.- Applications of predictive modeling for various properties of ionic liquids.- Part 4. Cheminformatic and Machine Learning Models for Energetic Materials.- Improving Safety with Molecular-Scale Computational Approaches for Energetic and Reactive Materials.- Predictive modeling for energetic materials.- Modeling the performance of energetic materials.- Applications of predictive modeling for energetic materials.