AI in Chemistry and Material Sciences

Content

• Introduction to Artificial Intelligence and its applications in chemistry
• Compounds properties and traditional ways to compute the properties
• Compounds Representation methods and tools
• Descriptors
• Fingerprints
• AI driven Compounds Structure Prediction
• Retrosynthesis
• Large Language models
• Large Language models applications in compounds Analysis
• Materials
• AI driven Materials Discovery

Materials

We use OLAT to organize this course.

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