Our research
Our goal is to accelerate the discovery of advanced functional materials. We employ robotics, computational prediction and digital optimisation to develop autonomous methods that can speed up and refine the exploration of the vast chemical space.
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Our group is active in a broad range of traditional as well as (semi-) automated and high throughput methods for materials synthesis and characterisation in areas including polymers, porous materials, and photocatalysis.
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Following on from our breakthrough discovery of Mobile Robotic Chemist in 2020, our research in the area of digital chemistry focuses on the expansion of automated capabilities as well as combining such capabilities into complete materials discovery workflows.
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We use computational methods and data-driven approaches for materials exploration and optimisation. We developed intelligent chemical space exploration methodologies using existing knowledge of the underlying problem at hand.
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Our innovative approaches in the synthesis and characterisation of porous organic cages and framework materials have significantly advanced the field of materials science.