PNNL’s miniaturized acoustic transmitter expands tracking to smaller fish, giving researchers data that can inform fish passage and hydropower operations.

Scientists uncovered the molecular basis of nitric acid speciation across dilute and concentrated solutions and identified competing hydration-shell rearrangements around lanthanide ions at the dilute limit.

Made with less than 0.15 percent polymer, the material quickly seals damage and restores strength across repeated cracking cycles.

Establishing how electronic redistribution, protonation, and solvent rearrangement are coupled during a proton-coupled electron transfer process.

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.

A new PNNL game teaches players about obstacles that fish face during migration.

New software enables the study of nuclear quantum effects in large, condensed phase systems up to 10× faster than traditional methods.

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

A research team from Pacific Northwest National Laboratory used machine reasoning to schedule scientific workflows while guaranteeing quality of service (QoS).

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.

Replacing commercial acid with acidic waste enables researchers to improve nickel extraction efficiency, lower projected costs, and improve process economics.

Connecting energy generation, electricity storage, and using sensors and control software to track load, including precommercial market marine energy generation technologies.

PNNL researchers Daniel Deng and Yehia Ibrahim join the 2025 class of National Academy of Inventors Fellows.

The Scientific Discovery through Advanced Computing institute will focus on making scientific machine learning accessible to domain scientists.

Scientists provide a guide for the rational application of continuum descriptions of fluid flows based on interfacial chemistry.

This achievement earned DIMPLES a Best Paper award at the ACM International Conference on Supercomputing 2025.

ThermalTracker-3D can help streamline permitting, reduce costs, and shorten development time of energy projects.

Delivering an integrated quantum-mechanical and experimental perspective on the effects of both intrinsic and externally applied electric fields at atomic-scale interfaces.

Researchers have developed the first coastal transport model for microplastics to understand how particles move in waterways and coastal currents.