Virtual Variables-Enabled Generation of Datasets for Prediction in Organic Synthesis: Digitalization of Small Molecules and Application to Functional Molecule Syntheses

The generation of large datasets in traditional organic synthesis experiments is extremely challenging. Hence, methods that predict outcomes accurately using a limited amount of data are in demand. We propose a molecular technology based on generative artificial intelligence that generates data from unexplored conditions and establishes the most suitable relationships... Show more