AJ Krzysko, a Washington State University student currently working at PNNL under the Distinguished Graduate Research Program, has received a DOE Office of Science Graduate Student Research (SCGSR) award.
A contingent of PNNL scientists and leaders is heading to Argonne National Laboratory next week to take part in the fourth installment of DOE’s Innovation XLab series – this one focused on artificial intelligence (AI).
Kevin Rosso joins scientists and engineers who provide leadership and expertise to help solve issues affecting Washington State, inform public policy-making, and increase the role and visibility of science among the public.
If you have been through airport security lately, you likely have done what those of us at the Department of Energy's Pacific Northwest National Laboratory call the "PNNL salute."
Postdoctoral researchers contribute mightily to PNNL's mission. This week, PNNL is honoring its 268 postdoc researchers as part of the 10th annual National Postdoc Appreciation Week.
A gathering of international experts in Portland, Oregon, explored the future of electron microscopy and surfaced potential solutions in areas including new instrument designs, high-speed detectors, and data analytics capabilities.
The microbial communities within the loose, friable aggregations of organic and mineral components in soil are highly organized spatially, shaped in part by the structure of the soil itself.
Nitrogen is a critical nutrient regulating productivity in many ecosystems and influences nutrient availability by affecting organic matter decomposition rates.
Biogeochemical activity in the hyporheic zone (HZ), sediments where the flowing waters of a river mix with shallow groundwater, supports many of the biological processes that occur within a watershed.
Co-authors of a paper in Hydrological Processes led by PNNL researchers Zhangshuan Hou, Timothy Scheibe, and Christopher Murray, produced a map that identifies different classes of sediments which compose the riverbed along the Hanford ...
A multi-institutional team of scientists developed a new sensitivity analysis framework using Bayesian Networks to quantify which parameters and processes in complex multi-physics models are least understood.
Reactive transport models (RTMs) are used to describe and predict the distribution of chemicals in time and space, in both marine and terrestrial (surface and near-surface) environments where microbially-mediated processes govern...
