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

In machine learning, large datasets are typically required to improve estimation accuracy. However, the generation of such datasets in traditional organic synthesis experiments is extremely challenging. Hence, there is a strong demand for methods that enable the accurate prediction of outcomes using limited amounts of data. In this study, we... Show more