Automated optimization of a flow reactor by using Bayesian algorithms and Inline NMR Monitoring
Introduction Recent advances in laboratory automation and analytical instrumentation have opened new possibilities for accelerating reaction development, particularly in flow chemistry. Among these, the integration of real-time analytics with intelligent process control has enabled the emergence of self-optimizing reactor systems. These setups are capable of autonomously exploring reaction conditions to maximize the performance of the …