Atomic Fortune-Telling: Forecasting the Evolution of Chemical Reactions
Researchers developed a machine learning model that can analyze chemical reactions as they happen in an electron microscope.
Developing Data Science Approaches for Nanoparticle Synthesis
Machine learning methods and data science can uncover hidden patterns in nanoparticle synthesis conditions and property outcomes.
Accelerating Materials Discovery with AI
Pacific Northwest National Laboratory scientists discussed their materials research at Accelerate’24.
Designing the Future of Materials with Artificial Intelligence
Joint Appointee Mitra Taheri spoke on the AI in Government episode of the EY Leading into Tomorrow podcast.
Bylaska Selected for Computational Materials Science Award
Bylaska and team will aim to make computational design of functional materials more targeted, impactful, and user friendly through this award.
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.
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.