Researchers at PNNL have increased the conductivity of copper wire by about five percent via a process called Shear Assisted Processing and Extrusion. General Motors tested the wire for application in vehicle motor components.
Pacific Northwest National Laboratory researchers used machine learning to explore the largest water clusters database, identifying—with the most accurate neural network—important information about this life-essential molecule.
Five PNNL technologies were recently awarded six R&D 100 honors. The R&D 100 Awards, now in its 58th year, recognize pioneers in science and technology from industry, the federal government, and academia.
Sharon Hammes-Schiffer, deputy director of the Center for Molecular Electrocatalysis (CME), has received awards from both the Royal Society of Chemistry and the American Chemical Society.
A new agreement between Pacific Northwest National Laboratory and The University of Texas at El Paso will create research and internship opportunities.
PNNL researchers used machine learning to develop a tool for a nonprofit to identify orthopedic implants in X-ray images to improve surgical speed and accuracy.
Culminating 10 years of study, researchers at PNNL’s Marine and Coastal Research Laboratory developed a new predictive framework for estuarine–tidal river research and management.
The nation’s ability to test for COVID-19 has expanded, thanks to work at Pacific Northwest National Laboratory, where scientists have established the performance of testing equipment to detect the virus.
A team of researchers led by scientists from PNNL simulated carbon cycling and community composition during 100 years of forest regrowth following disturbance.
PNNL’s Heida Diefenderfer was recently appointed to a National Academies of Sciences, Engineering, and Medicine committee that will assess long-term environmental trends in the Gulf of Mexico region.
