Algorithmic optimisation as a tool to accelerate process development
Early stage process development often requires evaluation of a chemical space that is far too large to effectively and rapidly screen. This often leads to suboptimal reaction conditions being carried forward until there is time to rework the chemistry later. To help address the chemical space problem, we have implemented algorithmic optimization across a wide variety of chemical transformations and have used the outputs from that work to enable rapid delivery of scalable processes. This talk will outline some of the advantages and disadvantages in deploying algorithmic optimization in process development through several case studies we have carried out over the last several years.
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Early stage process development often requires evaluation of a chemical space that is far too large to effectively and rapidly screen. This often leads to suboptimal reaction conditions being carried forward until there is time to rework the chemistry later. To help address the chemical space problem, we have implemented algorithmic optimization across a wide variety of chemical transformations and have used the outputs from that work to enable rapid delivery of scalable processes. This talk will outline some of the advantages and disadvantages in deploying algorithmic optimization in process development through several case studies we have carried out over the last several years.