Vapourtec and Accelerated Materials have a keen interest in the growing role and potential of machine learning in chemistry, and particularly within flow chemistry.
Machine learning delivers a number of benefits for chemical optimisation including enhancing the efficiency and accuracy of predictive modelling and improving decision-making processes. It brings the capability of the rapid analysis of vast datasets and identifying patterns and correlations into the experimental design, significantly improving the efficiency of exploration of potential experimental conditions.
Accelerated Materials’ Chief Strategy Officer, Professor Alexei Lapkin, commented: “Bringing AI into chemistry accelerates the… Read more
