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

Flow chemistry involves the use of channels or tubing to conduct a reaction in a continuous
stream rather than in a flask. Flow equipment provides chemists with unique control over …

Small-molecule drug discovery can be viewed as a challenging multidimensional problem in
which various characteristics of compounds—including efficacy, pharmacokinetics and …

The molecules of today—the medicines that cure diseases, the agrochemicals that protect
our crops, the materials that make life convenient—are becoming increasingly sophisticated …

Deep reinforcement learning was employed to optimize chemical reactions. Our model
iteratively records the results of a chemical reaction and chooses new experimental …

The ever-growing demand for advanced functional materials requires disruption of
conventional approaches to experimentation and acceleration of the discovery process …

Automated development of chemical processes requires access to sophisticated algorithms
for multi-objective optimization, since single-objective optimization fails to identify the trade …

The past two decades have seen far-reaching progress in the development of microfluidic
systems for use in the chemical and biological sciences. Here we assess the utility of …

The intrinsic limitations of conventional batch synthesis have hindered its applications in
both solving classical problems and exploiting new frontiers. Microfluidic technology offers a …

Organic synthesis is changing; in a world where budgets are constrained and the
environmental impacts of practice are scrutinized, it is increasingly recognized that the …