May 20, 2025: Research Highlight
Using Plasma Color to Predict Weld Quality
Found that the correlation between weld flash emissions and melt pool composition can provide near real-time feedback on weld quality.
April 2, 2025: Feature
Moving to Autonomous Experimentation: Growing Thin Films with Machine Learning
Machine learning and autonomous experimentation are poised to revolutionize how scientists grow very thin films on surfaces, important for technologies like microelectronics and quantum computing.
December 7, 2024: News Article
Symposium X—MRS/The Kavli Foundation Frontiers of Materials
Mitra Taheri discussed teaching machines to solve global challenges, one atom at a time.
October, 2024: News Article
NordTEMhub/ARTEMI Workshop Explores Machine Learning in Transmission Electron Microscopy
AT SCALE researchers presented at the NordTEMhub/ARTEMI workshop on Machine Learning Methods in Transmission Electron Microscopy.
October 21, 2024: Staff Accomplishment
Designing the Future of Materials with Artificial Intelligence
Mitra Taheri provides her perspective on artificial intelligence and materials science
June 12, 2024: News Release
Metal Alloys that Can Take the Heat
A multidisciplinary research team has developed an evidence-based predictive tool for designing complex metal alloys that can withstand extreme environments.
February 20, 2024: Article
NeuroMANCER Shoots for the Stars
The physics-informed machine learning optimization framework is now PNNL’s most popular open-source repository on GitHub.
March 14, 2023: Staff Accomplishment
Researchers Featured in MRS Bulletin Special Issue
PNNL researchers edited and contributed to special issue focused on materials in extreme environments.