PNNL

An Ally for Alloys

Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.

ACS Spring 2024

Join researchers from PNNL at the American Chemical Society Spring 2024 meeting as they present findings from their latest research in chemistry and materials.

From Technology Void to Next-Gen Solution: PNNL Reinvents ERT Monitoring

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.

Enabling Site-Specific Well Leakage Risk Estimation During Geologic Carbon Sequestration Using a Modular Deep-Learning-Based Wellbore Leakage Model

Accelerating Computational Fluid Dynamics Simulation of Post-combustion Carbon Capture Modeling with MeshGraphNets