One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

There are few problems now that AI and machine learning cannot help overcome. Researchers from the Yokohama National University are using this modern advantage to resolve what conventional methods ...

We report the development and application of a scalable machine learning (ML) framework (Minerva) for highly parallel multi-objective reaction optimisation with automated high-throughput ...

AD is a highly sensitive process therefore different control parameters like environmental emission, energy consumption, digestion procedure and feed pattern are very important to optimize 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 ...