6% to 82% in just 14 iterations!

This is what we recently achieved at Fluidichem thanks to a Bayesian optimization applied to a continuous flow peptide coupling reaction.

At Fluidichem, we leverage our experience in continuous flow chemistry, coupled with Bayesian algorithms, to efficiently optimize your chemical processes.

Why Bayesian optimization?

Unlike traditional approaches, where the different parameters of a reaction are optimized sequentially and independently, the Bayesian algorithm takes all parameters into account. At each iteration, a new set of conditions is proposed by the algorithm, based on the results of previous experiments, enabling an efficient and fast convergence towards the most promising areas of the chemical research space.

Outcomes: fewer experiments, less waste, and a maximized performance!

You want to optimize a chemical reaction efficiently? Contact Fluidichem for further information!