Delivering Mighty Impact for DOE User Facility
ACMD staff contributed to 30 years of atmospheric data collection for the Department of Energy’s Atmospheric Radiation Measurement user facility.
Synergizing Techniques to Advance AI
PNNL researchers present challenges and opportunities for fusing graph neural networks with deep reinforcement learning.
Xu Joins the Editorial Board of Scientific Reports
Zhijie (Jay) Xu will apply his expertise in multiscale modeling to this editorial role.
Świrydowicz Receives Best Paper Award
The award was given at the 29th International Conference on Information, Communication and Automation Technologies.
Advancing Human Factors Research Through Collaboration
The Human Factors Symposium took place at Discovery Hall at PNNL in May 2023. Fifty-seven attendees participated in the three-day event representing 15 different institutions.
New AI Model Aims to Plug Key Gap in Cybersecurity Readiness
Researchers have knitted together three large databases of information to help cybersecurity experts detect and prevent attacks.
A Formulation of the Many-Body Expansion (MBE) for Infinite Periodic Systems
Research from PNNL and the University of Washington demonstrates the extension of the MBE for periodic systems and its use to decompose the lattice energies of different ice polymorphs.
Facing Scientific Challenges? We’re Counting on It!
PNNL researchers outline open problems in different scientific areas in the Journal of Combinatorics.
String of Firsts in Forensic Proteomics for Ricin Detection
As author of her first publication, PNNL bioinformaticist Isabelle O’Bryon developed the first forensic proteomics method to more quickly detect ricin, a toxin often crudely made in home laboratories that can kill in trace amounts.