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

Synfini, Inc., provider of the industry’s most advanced Agile AI Foundry for drug discovery, today announced the launch of Fast Pass I, an open, rapid cloud workflow system which provides qualified ...

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 ...

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

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 ...

Professor Joongoo Kang's team from the Department of Physics and Chemistry at DGIST and Professor Sohee Jeong's team from the ...

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 ...

Enodia Therapeutics, a biotechnology company developing novel small-molecule therapies for targeted protein degradation at ...

This module explores the synthesis of amines with a focus on the reductive amination reaction. Numerous examples from the discovery and commercial manufacturing of pharmaceuticals are included. After ...