Photoinduced chemical transformations have received in recent years a tremendous amount
of attention, providing a plethora of opportunities to synthetic organic chemists. However …

Redox processes are at the heart of synthetic methods that rely on either electrochemistry or
photoredox catalysis, but how do electrochemistry and photoredox catalysis compare? Both …

Developing algorithmic approaches for the rational design and discovery of materials can
enable us to systematically find novel materials, which can have huge technological and …

Abstract Machine learning (ML) promises to tackle the grand challenges in chemistry and
speed up the generation, improvement and/or ordering of research hypotheses. Despite the …

By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

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

We give here a brief overview of the use of machine learning (ML) in our field, for chemists
and materials scientists with no experience with these techniques. We illustrate the workflow …

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Advances in synthetic carbohydrate chemistry have dramatically improved access to
common glycans. However, many novel methods still fail to adequately address challenges …