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

Researchers designed ultra-low radiation cables to reduce background noise for highly sensitive neutrino and dark matter detectors.

PNNL signs memorandum of understanding with Oregon State University to support marine science and technology advancements.

PNNL’s Richard Saldanha will lead a new project to benchmark and validate models of cosmic ray exposure

PNNL researchers teamed up with marine energy developers to test a new wave energy conversion device through the TEAMER program.