PNNL researchers have developed a new, physics-informed machine learning model that accurately predicts how heat accumulates and dissipates during friction stir processing.

A streamlined informatics workflow that automatically processes complex data and provides the locations of double bonds in lipids.

Hi-C metagenomics-informed phage-host infection networks detected in soil pre- and post-drying.

Researchers unveil user-friendly software to keep complex projects on budget and on schedule.

Metabolomics analysis revealed differences in metabolome profiles for two distinct modes of fungal wood decay.

A new web-based tool provides easy-to-understand progress metrics and other data about groundwater cleanup sites overseen by the DOE Office of Environmental Management.

Data from increasingly complex mass spectrometry instruments met with adaptable data analysis solution.