Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

Functionalization of C–H bonds is a key challenge in medicinal chemistry, particularly for
fragment-based drug discovery (FBDD) where such transformations require execution in the …

This two‐part Review examines how automation has contributed to different aspects of
discovery in the chemical sciences. In this first part, we describe a classification for …

Computer-aided synthesis planning (CASP) tools can propose retrosynthetic pathways and
forward reaction conditions for the synthesis of organic compounds, but the limited …

Autonomous process optimization involves the human intervention-free exploration of a
range process parameters to improve responses such as product yield and selectivity …

How do you get into flow? We trained in flow chemistry during postdoctoral research and are
now applying it in new areas: materials chemistry, crystallization, and supramolecular …

The physical sciences community is increasingly taking advantage of the possibilities
offered by modern data science to solve problems in experimental chemistry and potentially …

The optimization of multistep chemical syntheses is critical for the rapid development of new
pharmaceuticals. However, concatenating individually optimized reactions can lead to …

Synthetic chemistry provides access to advanced materials that facilitate innovation in key
industries such as medicine, energy, and agriculture. Automation is poised to challenge the …