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.

Organismal contribution and community interaction drive soil organic matter breakdown by microbes.

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.

Proteins from “auxiliary” genes in soil viruses play a role in the carbon cycle and climate, scientists have found.

A new study shows how organic molecules respond to global change varies according to functional traits and ecological processes.

Eight Office of Science Graduate Student Research join PNNL.

PNNL offers six distinct pathways for deploying place-based renewable energy infrastructure at scale.

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

Soil transplant experiment gives new insights into coastal forest resilience, rising seas, and increasing storms.

ICON science is a Department of Energy-developed framework to enhance scientific outcomes via more intentional design of research efforts across all domains of science.

A novel ecological measurement uncovered interactions between river corridor organic matter assemblages and microbial communities, highlighting potentially important microbial taxa and molecular formula types.

Measurements of forest after an anomalous seawater exposure event reveals carbon starvation as dominant process underlying deaths.

Soil pores are reorganized when newly thawed permafrost soils experience freeze-thaw cycling.

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

COVID-19 had multiple impacts on the electric sector and the nature of those impacts varied on the scale analyzed.

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

Soil moisture influences both the activity of soil DNA viruses, as well as the composition and abundance of RNA viruses.