News & Media

A user-friendly web application leverages the power of machine learning to improve efficiency and reproducibility of identifying and measuring the concentrations of metabolites in nuclear magnetic resonance spectra. 

Graduate students, postdocs will attend on-site tutorials on artificial intelligence, machine learning during EMSL Summer School

Seventy-four soil cores will be collected to contribute to a publicly available database

Researchers observe water uptake by solid-state absorptive brown carbon emitted from wildfire smoke, adding new insights into the particles’ potential atmospheric and radiation impacts.