PNNL Interns' Research Runs the Scientific Gamut
Tomorrow’s scientific leaders gain real-world experience contributing to PNNL’s research and development.
Rapid Changes in River Flow can Increase Spreading of Contaminants from Nearby Groundwater
Integrating hydrogeology and biogeochemistry are required to model the dynamics of geochemical processes occurring in river corridor zones where groundwater and surface water mix.
Explainable AI: A Must for Nuclear Nonproliferation, National Security
Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.
Decoding the “Black Box” of AI to Tackle National Security Concerns
Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.
PNNL Helps Hanford Cleanup
Cleaning up Hanford is no easy task: it is one of the world's largest and most complex environmental remediation projects. The nation's top engineering firms are on the job and the Department of Energy's PNNL is helping.
Salish Sea Model
The Salish Sea Model (SSM) is a predictive coastal ocean model for estuarine research, restoration planning, water-quality management, and climate change response assessment.
The Youth Are Our Future: Mentor Mariefel Olarte Invests in Interns
PNNL chemical engineer Mariefel Olarte shares passion for mentoring students and the next-generation workforce.
Two PNNL Researchers Elected to Membership in the National Academy of Engineering
PNNL's Ruby Leung and Johannes Lercher elected to membership in the National Academy of Engineering.