PNNL

Deep Learning to Understand Heterogeneous Catalysts

A new deep learning approach allows researchers to rapidly analyze three-dimensional representations of multi-component catalysts.

Radiation Detectors at U.S. Ports of Entry Now Operate More Effectively, Efficiently

Nuisance alarm rates in radiation detectors at seaports and ports of entry are down significantly due to PNNL data analysis efforts that are saving time and money at the ports.

Electric Vehicles at Scale - Phase II - Distribution Systems Analysis

Next Steps for Solvent-Based CO2 Capture; Integration of Capture, Conversion, and Mineralisation.

Particle phase-state variability in the North Atlantic free troposphere during summertime determined by different atmospheric transport patterns and sources

Characterizing Connected Lighting Systems

Presence Detection in Connected Lighting Systems

Robert Oelrich

Robert Oelrich is the Nuclear Engineering group lead at PNNL.

Fluvial-Coastal Flooding in a Changing Climate

Future global warming-induced changes to watershed and coastal processes can significantly affect the magnitude of fluvial-coastal compound flooding.

Non-parametric projections of national income distribution consistent with the Shared Socioeconomic Pathways