PNNL

An Automated, Faster Way to Analyze Aerosols

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.

Biomass Burning Gases React Within Clouds, Forming Secondary Organic Aerosols

Researchers devised a quantitative and predictive understanding of the cloud chemistry of biomass-burning organic gases helping increase the understanding of wildfires.

Rat Bronchoalveolar Lavage Proteome Changes Following E-cigarette Aerosol Exposures

Subject-Specific Multi-Scale Modeling of the Fate of Inhaled Aerosols

In-silico quantification of intersubject variability on aerosol deposition in the oral airway

Automated bidirectional coupling of multiscale models of aerosol dosimetry: validation with subject-specific deposition data

Influence of alveolar mixing and multiple breaths of aerosol intake on particle deposition in the human lungs

Three PNNL Researchers Receive DOE Early Career Research Awards

Three PNNL researchers will receive five continuous years of funding for projects through highly competitive DOE Early Career Research Program awards.

Ultralow-Volume, Shallow, Microwell-Based Spatial Proteomics for Scalable Proteome Mapping of Tissues