Robert (Greg) Felsted
Workshops Convene on Complex Homeland Security Challenges
PNNL recently joined the Department of Homeland Security for two technical meetings exploring national security research spanning the threat realm, from chemical and biological attacks to adversarial artificial intelligence.
Closing in on the Elusive Neutrino
Neutrino mass, a crucial piece of many unresolved physics puzzles, may one day be revealed through a novel measurement system that has just proven its mettle: Cyclotron Radiation Emission Spectroscopy.
Four PNNL Researchers Receive DOE Early Career Research Awards
Four PNNL researchers received highly competitive DOE Early Career Research Program awards, providing five continuous years of funding for their projects.
Designing Detectors for DUNE
PNNL scientists design a highly sensitive neutrino detector for the Deep Underground Neutrino Experiment.
Emulating Interactions Between Atmospheric Particles and Light with Machine Learning
Randomly constructed neural networks can learn how to represent light interacting with atmospheric aerosols accurately at a low computational cost and improve climate modeling capabilities.
A Flexible Feature Tracking Package for Climate Science
A new open-source feature tracking package is now available to facilitate advanced model evaluation, model development efforts, and scientific discovery.
Applying a Mathematical Diagnostic Tool to Detect Numerical Pathologies in Atmospheric Physics Parameterizations
A success story of applying convergence testing to detect and address issues of numerical discretization in nonlinear representations of turbulence and clouds.
From Supercomputers to Regional Climate Data: Exploring Best Practices for “Variable-Resolution” Modeling
A holistic evaluation of the uncertainty sources that arise from configuring the model to processing the output for global variable-resolution models.
Isabelle O’Bryon
Isabelle O'Bryon is a data scientist at Pacific Northwest National Laboratory.