At ETH Zürich SwissCat+, we combine ML-Bayesian optimisation with automated/high-throughput experimentation to accelerate heterogeneous catalysts R&D.

Full article entitled “Accelerated exploration of heterogeneous CO₂ hydrogenation catalysts by Bayesian-optimized high-throughput and automated experimentation” available here.

Thanks again to all the authors: Adrian Ramirez Galilea, Erwin Lam, Daniel Pacheco Gutierrez, yuhui Hou, Hermann Tribukait, Loïc Roch, Christophe Coperet, Paco Laveille and the teams at Chemspeed Technologies, Unchained Labs and AvantiumFlowrence® Technology for their continuous support.

Credit to the team of Inmywork Studio, Ehsan Keshavarzi for the illustration.