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

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

A web application for use by experimental chemists created by us. Uploading a file calculated with commercially available software, and the electronic state can be analyzed. We are working on creating ...

Researchers use AI to visualize reaction pathways of colloidal quantum dots as subway maps, clarifying synthesis and speeding ...

A new chemical reaction method is only as valuable as the chemistry it makes possible. So a paper that describes a new reaction will almost always include a table of compounds that researchers tested ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Flow Chemistry revolutionizes chemical synthesis, enhancing safety and efficiency in pharmaceuticals and sustainable ...