Carbon Source Drives Phenotypic Behavior in Lipomyces starkeyi
Uncovered how the choice of carbon source influences the stress tolerance, redox balance, and regulatory responses of yeast, which can help provide resilience against scale-up challenges.
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.
Five PNNL Innovations Win 2026 R&D 100 Awards
Five PNNL innovations earned 2026 R&D 100 Awards for advances in biotechnology, manufacturing, critical minerals, and nuclear security.
New AI Agent Connects Computer Reasoning with Chemistry
CACTUS provides AI-powered cheminformatics for autonomous science.
Data Scientist Fixes His Sights on Speeding Up Drug Discovery
Scientists are using artificial intelligence and powerful computing to sculpt new molecules in an effort to treat disease.
Decoding Protein Interactions with Domain-Aware Machine Learning
Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.
Designing Microbe Factories for Sustainable Chemicals
Scientists have devised a way to engineer yeast to produce sustainable, eco-friendly commodity chemicals using computing power as a guide.
Preparing for a Future Pandemic with Artificial Intelligence
PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.
From Molecule to Medicine via Machine Learning
PNNL computational biologists, structural biologists, and analytical chemists are using their expertise to safely accelerate the design step of the COVID-19 drug discovery process.
Joining Forces for Trustworthy Artificial Intelligence
PNNL is one of the founding partners of the Trillion Parameter Consortium, which was formed to create reliable generative AI models.