A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

Given the multitude of conditions that must be optimized in synthesis routes, chemical synthesis remains a complex and ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, has developed a method for predicting ... created four machine learning (ML) models to predict ...