PNNL showcased its expertise in AI, machine learning, and related domains at the International Conference on Machine Learning.

Brown University professor and PNNL joint appointee was honored for his exceptional work in applied mathematics.

Danny Herrera, a systems engineer and leader in the National Security Directorate at PNNL, has been named the new co-director of the Institute for Cybersecurity and Resilient Infrastructure Studies.

John VerWey, an advisor in the Mission Alignment group at PNNL, has recently been selected to lead a panel discussion at the inaugural Special Competitive Studies Project (SCSP) AI+ Compute & Connectivity Summit.

Lauren Charles, a chief data scientist at PNNL, showcased the vital research coming out of her program at The National Academies Forum workshop in Washington, D.C., January 15–16, 2025.

Samrat Chatterjee will serve on the editorial board of Risk Analysis, the flagship journal of the Society for Risk Analysis.

PNNL researchers Marisa Decillis and Luke Richards contributed to a Center for Security and Emerging Technology report, “Securing Critical Infrastructure in the Age of AI.”

Joint Appointee Mitra Taheri spoke on the AI in Government episode of the EY Leading into Tomorrow podcast.

Researchers discussed this topic at the 2024 Analog Computing for Science Workshop co-led by Antonino Tumeo.

Ján Drgoňa invited as a speaker at the Grainger Foundation Frontiers of Engineering 2024 Symposium of the National Academy of Engineering.

Vijay Murugesan highlights how AI can accelerate materials discovery at the Volta Foundation’s Battery Forum.

Bylaska and team will aim to make computational design of functional materials more targeted, impactful, and user friendly through this award.

Neeraj Kumar discusses how AI can transform scientific research at the Platform for Advanced Scientific Computing Conference and Trillion Parameter Consortium European Workshop.

Robert Rallo discussed PNNL’s artificial intelligence research at the Seattle AI Investor Summit and Showcase

PNNL’s Nell Byler and Elise Bishoff shared their computer vision expertise with high school students at the National Science Bowl Science Day

A breakthrough in electron microscopy based on deep learning can automatically visualize and identify areas of interest, helping to speed advances in materials science.

PNNL joint appointee Sergei Kalinin earned the Peter Duncumb Award for excellence in microanalysis.