Add Yahoo as a preferred source to see more of our stories on Google. Although the Nobel Prizes in physics and chemistry are awarded separately, there is a fascinating connection between the winning ...

(Nanowerk News) Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of ...

Peer-reviewed research finds the company’s novel technology enables faster dataset construction, further shortening Avicenna’s timelines to develop life-saving medicines. “We’re accustomed to hearing ...

Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the ...

In March, a paper in the Journal of the American Chemical Society sparked a heated Twitter debate on the value of machine learning for predicting optimal reaction pathways in synthetic chemistry. The ...

Flow chemistry engineering specialists Vapourtec is working with Accelerated Materials to develop the scope and potential of machine learning (ML) in flow chemistry. Machine learning delivers a number ...

As compared to organic chemistry, which is a study dedicated to carbon-containing compounds, the area of inorganic chemistry examines the properties and behaviors of all other compounds including ...

Machine learning is often touted as a way to replace human chemists in certain tasks in research. For instance, machine learning algorithms could predict new reagents likely to make desired materials, ...