This week marks another successful self-driving laboratory using AMLearn!
This time, we worked with the talented Sebastian Soritz at the Innovation Centre in Digital Molecular Technologies (iDMT) in the University of Cambridge.
AMLearn was used to integrate machine learning algorithms with a Vapourtec Ltd flow reactor, an Avantes spectrophotometer, and a Waters Corporation UPLC.
The system will be used to accelerate pharmaceutical process development and optimisation by quickly generating and analysing data with minimum time and effort.
Are you interested in setting up a self-driving lab in your organization?
Contact us to learn how easy it is, with AMLearn!
Visit Accelerated Materials on LinkedIn