Designing new reaction sequences to build complex materials can be a slow process, especially when each step involves multiple variables. A new machine learning–guided microfluidics platform could ...

From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning ...

Organic chemists optimizing a reaction, like chefs perfecting a dish, execute a single transformation over and over, each time tweaking a specific aspect, such as temperature or ingredient ratio, ...