Collaborations Are Key to Shaping the Future of AI
PNNL researchers work with industry partners to transform large language models.
3D-Scaffold, a Deep Learning Approach to Identify Novel Molecules for Therapeutics
A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.
Accelerating Materials Discovery with AI
Pacific Northwest National Laboratory scientists discussed their materials research at Accelerate’24.
Researchers Put Frontier AI Models Through Paces to See What Sticks at AI Jam
Nine national laboratories, including PNNL, bring together over 1,000 scientists for a day to use AI to accelerate scientific discovery.
PNNL @ SC24
PNNL researchers will be showcasing their latest findings in high performance computing, cloud computing, and artificial intelligence at SC24.
Guiding Vaccine Development with Machine Learning
The Rapid Assessment of Platform Technologies to Expedite Response project aims to prepare against future pandemics.
Artificial Intelligence Drives Design, Discovery, and Testing of Targeted Therapeutics against SARS-CoV-2
Data-driven autonomous technology to rapidly design and deliver antiviral interventions targeting SARS-CoV-2 to reduce drug discovery timeline and advance bio preparedness capabilities.
PNNL Defines Macro Cyber Resilience in Journal of Information Warfare
For the second straight year, PNNL researchers are featured in a special edition of the Journal of Information Warfare. This issue explores the topic of macro cyber resiliency.
PNNL Climate Research Has Far-Reaching Benefits
PNNL experts perform fundamental climate science work at multiple scales to understand impacts on energy, water, food, and infrastructure systems.
Ang to Support DOE Panel on Industry Collaboration
PNNL Chief Scientist for Computing Jim Ang will be part of a DOE Office of Science virtual discussion regarding industry collaborations on AI hardware.