Developed at PNNL, Shear Assisted Processing and Extrusion, or ShAPE™, uses significantly less energy and can deliver components like wire, tubes and bars 10 times faster than conventional extrusion, with no sacrifice in quality.
An energy-efficient method to extrude metal components wins Association of Washington Business Green Manufacturing Award. PNNL’s Shear Assisted Processing and Extrusion™ technology consumes less energy and enhances material properties.
When it comes to hydrogen compatibility, all rubbers are not created equal. New research hints at pathways to improve the durability of rubber-based materials in hydrogen infrastructure.
A comprehensive literature review linking algae and antivirals determines compounds in algae may demonstrate an exceptional—and as yet untapped—potential to combat viral diseases at every point along the viral infection pathway.
Rotational Hammer Riveting, developed by PNNL, joins dissimilar materials quickly without preheating rivets. The friction-based riveting enables use of lightweight magnesium rivets and also works on aluminum and speeds manufacturing.
A discovery from PNNL and Washington State University could help reduce the amount of expensive material needed to treat vehicle exhaust by making the most of every precious atom.
A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.
A new report led by PNNL identifies the top 13 most promising waste- and biomass-derived diesel blendstocks for reducing greenhouse gas emissions, other pollutants, and overall system costs.
Using existing fish processing plants, kelp and fish waste can be converted to a diesel-like fuel to power generators or fishing boats in remote, coastal Alaska.
PNNL’s data-infused approach to electron microscopes’ use in scientific experimentation will help researchers and industry interpret large data streams and drive down costs.
Bojana Ginovska leads a physical biosciences research team headed for PNNL's new Energy Sciences Center. She uses the transformative power of molecular catalysis and enzymes to explore scientific principles.
Three recent doctoral graduates are beginning their research careers at Pacific Northwest National Laboratory after completing the WSU-PNNL Distinguished Graduate Research Program this spring.
PNNL’s new Hydrogen Energy Storage Evaluation Tool allows users to examine multiple energy delivery pathways and grid applications to maximize benefits.
PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.
Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.
