PNNL researchers are moving energy research forward through collaborative projects with universities across the United States.

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

Tailoring hydrogen-based energy storage solutions to specific real-world applications.

PNNL gathered researchers from eight national laboratories plus the U.S. Department of Energy (DOE) to share ideas and build synergy at the Energy Equity and Environmental Justice Summit.

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.

The Department of Energy Secretary Jennifer Granholm made her first in-person visit to PNNL, a leading center for scientific discovery and technical innovation in sustainable energy.

Eight Office of Science Graduate Student Research join PNNL.

A new approach to epitaxial growth can produce different complex oxides through ion movement.

New research simulates power demand, supply, and cost in a hotter, drier climate.

The size of the alkali metal within the material influences the crystallization pathway.

Surface characterization allows researchers to explore the compatibility between different solvent-membrane combinations.

New work developed a methodology to generate building temperature setpoint schedules for use by modelers in large-scale building energy simulations.

Controlled synthesis and processing allow researchers to test how ions move through energy-relevant materials.