Scientists Put Forth a Smarter Way to Protect a Smarter Grid
PNNL scientists have put forth a new approach to protect the electric grid, creating an approach that sorts and prioritizes cyber threats on the fly.
Water cycle: Modeling of Circulation, Convection, and Earth system Mechanisms (WACCEM)
The Water cycle: Modeling of Circulation, Convection, and Earth system Mechanisms (WACCEM) Scientific Focus Area advances predictive understanding of water cycle variability and change.
Karniadakis Elected to the American Academy of Arts and Sciences
Brown University professor and PNNL joint appointee was honored for his exceptional work in applied mathematics.
AI-Based Classification of Marine Cloud Cell Patterns from ARM Radar
This study presents an automated method to detect and classify open- and closed-cell mesoscale cellular convection (MCC) using long-term ground-based radar observations.
PermitAI Hosts AI-Focused Workshop for Environmental Permitting
PNNL-hosted workshop highlighted how AI-driven tools are capable of transforming labor-intensive NEPA processes into streamlined, efficient workflows.
Barr Speaks on AI at Texas Emergency Management Conference
Jonathan Barr, senior systems engineer at PNNL, was recently invited to co-present on a panel at the Texas Department of Emergency Management Annual Conference.
PNNL Chief Commercialization Officer Leads a National Academies Panel
Christina Lomasney moderates panel on commercialization pathways for emerging artificial intelligence and high-performance computing technologies.
Artificial Intelligence Edges Closer to the Clinic
TransMED analyzes patient data from similar diseases across multiple sources to understand COVID-19 patient outcome risk factors.
Predicting River Sediment Respiration Rates Using Machine Learning
Researchers from PNNL and Parallel Works, Inc., applied machine learning methods to predict how much oxygen and nutrients are used by microorganisms in river sediments.