Integrating Domain Science Data with Artificial Intelligence
Neeraj Kumar discusses how AI can transform scientific research at the Platform for Advanced Scientific Computing Conference and Trillion Parameter Consortium European Workshop.
PNNL Flood Modeling Helps DHS During Busy Hurricane Season
PNNL flood modeling analysis is helping inform federal infrastructure planning and emergency response efforts this hurricane season.
Connecting Computational and Systems Biology for Biodefense
Research at PNNL and the University of Texas at El Paso are addressing computational challenges of thinking beyond the list and developing bioagent-agnostic signatures to assess threats.
Neural Networks, Kernel Machine Models Spotlighted at International Conference
PNNL’s Andrew Engel, Tony Chiang, and Sutanay Choudhury at the 2024 ICLR in Vienna.
Visual Intellectual Property Search: A Comprehensive, Searchable Database of Innovation
Metal Alloys that Can Take the Heat
Complex metal alloys enter a new era of predictive design for aerospace and other high-temperature applications.
Quantum Flow Algorithms for Simulating Many-Body Systems on Quantum Computers
In a new approach, quantum flow algorithms are used to simulate many-body systems on quantum computers and effectively describe chemical processes.
Erwin Appointed to SIAM Committee
Samantha Erwin, a PNNL data scientist, was recently appointed to the Society for Industrial and Applied Mathematics Membership Committee.
WSU Grad Students and the Pacific Northwest National Laboratory – a Winning Combination
Greater WSU grad student presence at PNNL