Integrating experiments and modeling show how a fungal exudate-inspired substrate mixture elicits an emergent growth phenotype and metabolic responses in Pseudomonas putida.

A decade-long evolution in making omics data easier to analyze earns widespread recognition.

By selectively stabilizing either a right- or left-handed helical pose of its substrate, an enzyme tunes the final product.

Chair of the NAE Materials Section, Jim De Yoreo brought together experts to explore how decades of materials innovation transformed the transistor into the foundation of modern technology.

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.

PNNL researchers are bringing a data-driven approach to unleashing the potential of geothermal energy.

Five PNNL innovations earned 2026 R&D 100 Awards for advances in biotechnology, manufacturing, critical minerals, and nuclear security.

PNNL Launches Center for Robotics and Autonomy to advance trustworthy autonomous science at speed and scale.

Researchers build visibility for PNNL through involvement in national workshop reports while helping shape DOE’s future research priorities.

Genesis Mission awards to PNNL will advance scientific discovery, next-generation energy systems and advanced manufacturing, among others.

PNNL will build an AI-powered modeling platform to help geothermal energy operators maximize electricity generation.

New partnership agreement to focus on AI, robotics, and advanced energy systems.

Researchers at PNNL have developed an interpretable, lightweight AI model that can easily predict weld microstructure features using only basic machine sensor inputs.

Integrating multiple structural proteomics techniques helps unravel microbial responses to changing environments—key to developing next-generation biotechnology solutions.

Study shows the advantages of top-town proteomics for characterizing histones.

Scientists equipped research subjects with wristbands to measure many factors that contribute to their exposome.

Scientists are optimizing microbes to harvest critical minerals and produce bioproducts using AI and autonomous lab equipment.

At the summit, PNNL engaged with partners and investors, highlighting seven projects that accelerate the deployment of new energy technologies.

Integrating new functions into a genome-scale model enabled researchers to simulate and experimentally validate viral hijacking pathways.

PNNL has developed a next-generation electrical resistivity tomography system for DOE that uses E4D software and AI-enhanced modeling to produce real-time subsurface images that help guide environmental remediation decisions.