From the start of a synthetic chemist's training, experiments are conducted based on recipes
from textbooks and manuscripts that achieve clean reaction outcomes, allowing the scientist …

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 …

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

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

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

A general outlook of the changing face of chemical synthesis is provided in this article
through recent applications of continuous flow processing in both industry and academia …

There has been an increasing interest in the use of automated self-optimising continuous
flow platforms for the development and manufacture in synthesis in recent years. Such …

Medicinal chemistry plays a fundamental and underlying role in chemical biology,
pharmacology, and medicine to discover safe and efficacious drugs. Small molecule …

Self-optimising chemical systems have experienced a growing momentum in recent years,
with the evolution of self-optimising platforms leading to their application for reaction …