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Welcome to CHEM 5080: AI for Experimental Chemistry
Lecture 1 - Python Primer
Lecture 2 - Pandas and Plotting
Lecture 3 - SMILES and RDKit
Lecture 4 - Chemical Structure Identifier
Lecture 5 - Regression and Classification
Lecture 6 - Cross-Validation
Lecture 7 - Decision Trees and Random Forests
Lecture 8 - Neural Networks
Lecture 9 - Graph Neural Networks
Lecture 10 - Property & Reaction Prediction
Lecture 11 - Dimension Reduction for Data Visualization
Lecture 12 - Self-Supervised Learning
Lecture 13 - De Novo Molecule Generation
Lecture 14 - Bayesian Optimization for Synthesis Conditions
Lecture 15 - Multi-Objective Bayesian Optimization
Lecture 16 - Reinforcement Learning
Lecture 17 - PU Learning
Lecture 18 - Contrastive Learning
Lecture 19 - Transformers
Lecture 20 - Large Language Models
Lecture 21 - Computer Vision
Lecture 22 - Vision Languge Models
Lecture 23 - Prompt Engineering and Function Calling
Lecture 24 - Literature Data Mining
Lecture 25 - Self-Driving Labs
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