PNNL is one of the founding partners of the Trillion Parameter Consortium, which was formed to create reliable generative AI models.

Scientists recently developed a flow direction model which produces high-quality flow routing parameters on any mesh system.

This is the first time a flow battery with 24-hour discharge capacity will be deployed and tested in a field environment.

PNNL celebrates World Energy Storage Day (September 22) by introducing you to some of our best and brightest in this area.

PNNL energy storage experts express need for continued investment in developing and deploying long-duration energy storage.

Department of Energy Office of Electricity Assistant Secretary Gene Rodrigues makes his first visit to PNNL.

A multi-omics analysis provides the framework for gaining insights into the structure and function of microbial communities across multiple habitats on a planetary scale

PNNL and Georgia Tech launch a joint institute focused on accelerating security for the critical infrastructure community.

Data-driven experiments can help determine best practices for Random Forest machine learning to predict water quality, particularly nitrate levels.

PNNL joint appointee Auroop Ganguly uses data science to study the impacts of climate change.

Across the United States, water moving between the river and riverbed sediments does not overcome localized processes that govern organic matter chemistry.