PNNL offers a third-party testing environment to provide battery companies with independent data about their grid-scale systems.

For nearly 20 years, PNNL has invested in a multidisciplinary effort to develop better batteries.

From developing new energy storage materials to revealing patterns of Earth’s complex systems, studies led by PNNL researchers are recognized for their innovation and influence.

Big energy storage science is brewing at GSL just one year after its groundbreaking.

Ampcera has an exclusive licensing agreement with PNNL to commercially develop and license a new battery material for applications such as vehicles and personal electronics.

PNNL's accomplishments in FY 2024 help address the remaining challenges the wind industry faces.

Three PNNL researchers will receive five continuous years of funding for projects through highly competitive DOE Early Career Research Program awards.

New research sheds light on the biomolecular dangers of night shift work.

PNNL contributes to a nationwide research consortium investigating the molecular mechanisms triggered by endurance training.

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

PNNL had a significant presence at October’s North American Wind Energy Academy/WindTech 2023 Conference in Denver, Colorado. Thirteen PNNL wind experts participated in various capacities.

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

Clean hydrogen energy infrastructure is coming to the Pacific Northwest with a newly announced hydrogen hub, and PNNL experts are advising the work to come.

DOE gives Hydrogen Program Special Award to PNNL's Hydrogen Safety Panel at department's 2023 Annual Merit Review and Peer Evaluation Meeting.

PNNL scientists investigate the promising properties of a common, Earth-abundant salt.

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

A research buoy managed by PNNL has been deployed in Hawai’ian waters, collecting oceanographic and meteorological measurements off the coast of O’ahu.

Steven Spurgeon’s research is featured in the cover of the MRS Bulletin along with his team’s invited perspective on the future of machine learning for electron and scanning probe microscopy.

Multidisciplinary teams from research and industry are brought together using management systems developed by a team of software engineers at PNNL.

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