Anika Halappanavar’s research into COVID-19 misinformation earned her recognition by the Washington State Academy of Sciences as one of the state’s top high school researchers.
The eighth Arab-American Frontiers of Science, Engineering, and Medicine Symposium, co-organized by PNNL engineer and research line manager Leonard Pease, brought together multi-disciplinary researchers from around the globe.
The annual Secretary’s Honor Awards recognize federal and contractor employees who have shown exceptional creativity, drive, and commitment to projects that have lasting impact on the Department of Energy's mission.
PNNL is highlighting scientific and technical experts in the national security domain who were recently promoted to scientist and engineer Level 5, one of PNNL’s most senior research roles.
IDREAM wins Department of Energy art contest with entry that illuminates how IDREAM scientists pivoted during pandemic to accomplish critical nuclear research.
Rey Suarez is a nuclear nonproliferation researcher who is working on equipment that can detect radionuclides emitted from a nuclear explosion as part of treaty monitoring.
PNNL’s Mike Hochella receives Geochemical Society’s Patterson Award and ACS Geochemistry medal for discovery of toxic particles produced during coal combustion.
A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.
2021 marks the largest cohort of PNNL authors and co-authors to be recognized at annual Waste Management Symposia for environmental management research.
More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.
PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.
Svitlana Volkova, chief scientist for decision intelligence and analytics at PNNL, was invited as a panelist at the SIAM International Conference on Data Mining