Day-Lewis Honored with Mooney Award
Earth scientist Frederick Day-Lewis has been honored with the 2023 Harold Mooney Award by the Society of Exploration Geophysicists.
Scientists Take to the Skies over Azores to Gather Cloud Data
Clouds in the eastern North Atlantic region will come under scrutiny from a bevy of airplane-based instruments this summer as scientists analyze the physical and chemical properties of clouds and aerosols.
DOE Gives Special Award to PNNL Hydrogen Safety Panel
DOE gives Hydrogen Program Special Award to PNNL's Hydrogen Safety Panel at department's 2023 Annual Merit Review and Peer Evaluation Meeting.
Metz Appointed Laboratory Fellow
PNNL has named Biomedical Scientist Tom Metz, an expert on metabolomics and multi-omics within the Biological Sciences Division, a 2023 Laboratory Fellow.
Katalenich Selected for Grainger Foundation Frontiers of Engineering Symposium
Katalenich was selected to attend the Grainger Foundation Frontiers of Engineering 2023 Symposium—an honor given to only 100 early-career engineers annually.
PNNL at EGU23
Join researchers from PNNL at EGU General Assembly 2023 as they present findings from their latest research in Earth science at the international event.
PNNL Team Wins Regional Award for Mobile Security Innovation
2023 Best in Region Federal Laboratory Consortium award for the Far West region given to PNNL team that transferred a security innovation to private industry.
A Brave and Daring Poem by the IDREAM Team
DOE Basic Energy Sciences 2023 “Poetry of Science Art Contest” aims to educate and inspire; voting for the People’s Choice Award closes September 15.
PNNL Researchers Take NAWEA Conference by Storm
PNNL had a significant presence at October’s North American Wind Energy Academy/WindTech 2023 Conference in Denver, Colorado. Thirteen PNNL wind experts participated in various capacities.
Three PNNL-Authored Papers Accepted for the International Conference on Learning Representation
Three PNNL authored papers were accepted as posters to the ICLR 2023 Workshop on Physics for Machine Learning and Workshop on Mathematical and Empirical Understanding of Foundation Models.