A new PNNL study quantifies hydropower's contribution to grid stability. When other power sources go out, hydropower can ramp up, recoup shortfalls, and stabilize the grid nearly instantaneously.

Developing conceptual models for microbial-environmental–ecosystem interactions is key to enhancing the ability of models to predict future ecosystem function.

Research from the PNNL-led WHONDRS consortium reveals chemistry and spatial gradients of metabolomes from river water and sediments around the globe.

From water purification, to better batteries and tools to foil a cyberattack—a look back at how PNNL helped to invent a brighter and better future over the last year.

A team led by researchers at PNNL demonstrated a new way to monitor deep subsurface fractures.

The newly created ICON Science Cooperative is a resource enabling an innovative approach to science to generate transferable knowledge and increase equity.

With an eye on renewable, accessible, and resilient power, PNNL researchers show hyper-local microgrids are a viable option, if designed with the right mix of sources.

Electrical engineer Aditya Ashok and cybersecurity researcher Thomas Edgar win best paper award for their work to create a new high-fidelity dataset that will help advance cybersecurity solutions for critical infrastructure protection.

PNNL is rock solid on carbon storage, building on successful demonstration in eastern Washington.

Free, publicly available tool to help estimate value of pumped storage hydropower project services.

Detailed characterization of molecules in, under, and along the Columbia River reveal potential mechanisms for biogeochemical cycling.

Tomorrow’s scientific leaders gain real-world experience contributing to PNNL’s research and development.

With a focus on prevention, PNNL researchers are working to predict droughts, enhance grid resilience, and manage forests to reduce wildfire.

PNNL’s Mike Hochella receives Geochemical Society’s Patterson Award and ACS Geochemistry medal for discovery of toxic particles produced during coal combustion.

PNNL researcher Erol Cromwell uses neural networks to elucidate subsurface permeability.

PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.

PNNL provided ultra-low measurements of argon-39 to date groundwater as part of a collaborative study of the aquifer in California’s San Joaquin Valley. PNNL is one of only a few laboratories worldwide with this capability.

Alison Colotelo, senior research scientist and project manager, has been selected for the Hydropower Foundation advisory board.

PNNL is developing the Digital Twins for Hydropower framework to help the industry to affordably modernize the aging hydropower fleet.

Researchers used deep learning methods to estimate the subsurface permeability of a watershed from stream discharge measurements.