PNNL

Valuing ecosystems in equitable energy transition planning

Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles

Influence of Energy Density on the Microstructure, Growth Orientation, and Anisotropy of Magnetic Properties in Additively Manufactured Fe-3.8wt%Si Transformer Steels

Multi-scale characterization of supersolidus liquid phase sintered H13 tool steel manufactured via binder jet additive manufacturing

Influence of microstructural heterogeneities on small-scale mechanical properties of an additively manufactured Al-Ce-Ni-Mn alloy

Critical feature and seawater testing of cross-flow rotor components fabricated with additive manufacturing

Intergranular corrosion of feedstock modified – additively manufactured stainless steel after sensitization

Mapping Intermittently Dry Headwaters with Drones and Phones

Tests show which low-cost 3D method best matches field measurements to minimize errors in mapping headwaters.

New AI Model Predicts Manufacturing Defects on the Fly

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

Jim De Yoreo Helps Chronicle the Semiconductor Engineering That Launched the Information Age

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.