Learning

Machine Learning for Predicting Thermodynamic Properties

Chemical Thermodynamics Fundamentals → Phase Transition Prediction

A graduate-level learning path for students interested in data science, focusing on applying machine learning to predict thermodynamic properties. It covers chemical thermodynamics fundamentals, data handling, feature engineering, and various ML models, culminating in surrogate models for phase transitions.