In recent years, the integration of machine learning and robotics technologies in chemical analysis has transformed the landscape of scientific research and industry practices. This revolution is not ...

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 ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.

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 ...

Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample. Machine learning model provides quick method for ...

The world is awash with news about artificial intelligence tools, including those intended to help chemists. But are the tools useful, a threat, or even worth the attention? It’s hard to know, ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

The Chemical Sciences Roundtable (CSR) explores cutting-edge topics to inform and advance the fields of chemistry and chemical engineering. We foster collaboration among experts from government, ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...