Conspectus The ongoing revolution of the natural sciences by the advent of machine
learning and artificial intelligence sparked significant interest in the material science …

Transition-metal complexes are attractive targets for the design of catalysts and functional
materials. The behavior of the metal–organic bond, while very tunable for achieving target …

Extracting structured knowledge from scientific text remains a challenging task for machine
learning models. Here, we present a simple approach to joint named entity recognition and …

Millions of distinct metal-organic frameworks (MOFs) can be made by combining metal
nodes and organic linkers. At present, over 90,000 MOFs have been synthesized and over …

The modular nature of metal–organic frameworks (MOFs) enables synthetic control over
their physical and chemical properties, but it can be difficult to know which MOFs would be …

A huge challenge facing scientists is the development of adsorbent materials that exhibit
ultrahigh porosity but maintain balance between gravimetric and volumetric surface areas …

Metal–organic frameworks (MOFs) are a class of crystalline porous materials that exhibit a
vast chemical space owing to their tunable molecular building blocks with diverse …

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 …

The reticular chemistry of metal–organic frameworks (MOFs) allows for the generation of an
almost boundless number of materials some of which can be a substitute for the traditionally …

Metal–organic frameworks (MOFs) are materials with a high degree of porosity that can be
used for many applications. However, the chemical space of MOFs is enormous due to the …