Traditional computational approaches to design chemical species are limited by the need to
compute properties for a vast number of candidates, eg, by discriminative modeling …

Accelerating the discovery of new molecules and materials, as well as developing green
and sustainable ways to synthesize them, will help to address global challenges in energy …

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

Transition metal borides, carbides, pnictides, and chalcogenides (X-ides) have emerged as
a class of materials for the oxygen evolution reaction (OER). Because of their high earth …

Closed-loop, autonomous experimentation enables accelerated and material-efficient
exploration of large reaction spaces without the need for user intervention. However …

Chemical reaction networks (CRNs), defined by sets of species and possible reactions
between them, are widely used to interrogate chemical systems. To capture increasingly …

Over the past few years, the adoption of machine learning (ML) techniques has rapidly
expanded across many fields of research including formulation science. At the same time …

Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …

Living systems contain a vast network of metabolic reactions, providing a wealth of enzymes
and cells as potential biocatalysts for chemical processes. The properties of protein and cell …

Owing to the chemical pluripotency and viscoelastic nature of electronic polymers, polymer
electronics have shown unique advances in many emerging applications such as skin-like …