We report an automated strategy to conduct RAFT copolymerizations using a Chemspeed robotic platform capable of executing batch, incremental, and continuous monomer addition workflows under inert conditions. Copolymerizations of oligo(ethylene glycol) acrylate with benzyl acrylate (as a control) and fluorescein o-acrylate were conducted in toluene, THF, and DMF, with reaction progress monitored via ¹H NMR spectroscopy at defined intervals.

Photocatalysis enables valuable reactions such as synthetic transformations or energy conversion processes like water splitting. To rationally improve photocatalytic reactions, mechanistic insights are required. These can be obtained with kinetic measurements, which are, however, difficult to obtain for a large enough number of reaction conditions to provide systematic and valuable insights. 

Inspired by the endless versatility offered by functional polymer materials in terms of modulating and imprinting diverse chemical, physical, and/or biological properties, we developed and screened a family of polymer catalysts, combining highly efficient catalytic functional groups with stimuli-responsive properties, to bring together the advantages of homogeneous catalysis and heterogeneous separation processes in a single catalytic system.

As part of a complex equilibria network with other chemical species, flavyliums, the chromophoric component of anthocyanins, hold great potential for use in functional polymers.

In the pursuit of a stable hydrogen evolution photosensitiser, we demonstrate the incorporation of a series of our H-bond rich guanidine-styled iridium (III) complexes into a catalytic system.

We have recently demonstrated the ability of using self-driving laboratories for AI-driven searches of new emitters for organic solid-state lasing devices.

Data management and processing are crucial steps to implement streamlined and standardized data workflows for automated and high-throughput laboratories. Electronic laboratory notebooks (ELNs) have proven to be effective to manage data in combination with a laboratory information management system (LIMS) to connect data and inventory.

Machine learning and high-throughput experimentation have greatly accelerated the discovery of mixed metal oxide catalysts by leveraging their compositional flexibility.

Leveraging advanced artificial intelligence, the robots autonomously perform complex chemical synthesis tasks, streamlining research processes and accelerating discoveries in pharmaceuticals, materials science, and specialty chemistry.