Spurgeon Named Lead Artificial Intelligence and Machine Learning Editor
Steven Spurgeon, materials scientist supporting the National Security Directorate at PNNL, was recently named lead machine learning editor for the journal Microscopy and Microanalysis.
Computational Chemistry Needs To Be Sustainable, Too
As new paradigms in advanced computing take shape, computational chemistry researchers are finding new ways to solve challenging chemistry problems.
Developing a Disaster-Ready Power Grid Agent Through Geophysically-Informed Fault Event Scenarios
PNNL, NVIDIA Host LLM Day Amid Generative AI Surge
The Lab’s newly formed Center for AI, in partnership with NVIDIA, recently hosted a joint “LLM Day.” During the day, NVIDIA AI experts engaged with PNNL scientists on opportunities to make generative AI a powerful tool for science.
Charles Serves as Guest Editor for One Health Special Collection
Lauren Charles was selected as a guest editor for a One Health collection, published by Nature’s Scientific Reports.
Kalinin Receives Microanalysis Society Award
PNNL joint appointee Sergei Kalinin earned the Peter Duncumb Award for excellence in microanalysis.
Three from PNNL Named AAAS Fellows
Three PNNL-affiliated researchers have been named fellows of the American Association for the Advancement of Science, the world’s largest multidisciplinary scientific society.
Neural Networks, Kernel Machine Models Spotlighted at International Conference
PNNL’s Andrew Engel, Tony Chiang, and Sutanay Choudhury at the 2024 ICLR in Vienna.
New AI Model Is a Leap for Autonomous Materials Science
A new AI model developed at PNNL can identify patterns in electron microscope images of materials without requiring human intervention, allowing for more accurate and consistent materials science.
NeuroMANCER Shoots for the Stars
The physics-informed machine learning optimization framework is now PNNL’s most popular open-source repository on GitHub.