Machine learning (ML) drives efficiency in automated chemistry

The news article discusses the integration of machine learning (ML) with flow chemistry systems to enhance efficiency and accuracy in chemical optimisation.
ML improves decision-making by analysing vast datasets, identifying patterns, and optimising experimental conditions. Traditional methods like OVAT and DoE have limitations that ML can address. Vapourtec’s R-Series system allows easy integration of ML algorithms, significantly benefiting chemical research and development.