Presentation by Lucia Moran Gonzalez on modern computational methods

The focus was on active learning—a framework in which machine learning models iteratively select the most informative experiments—and the application of deep neural networks for predicting chemical properties or reactions. The context emphasized moving beyond traditional high-throughput screening to more efficient, AI-driven workflows.

Helsinki, Finland. 16th June 2025:

• Summer-school-2025-machine-learning-and-artificial-intelligence-in-syntheticchemistry/