An award-winning ion separation technology developed at PNNL has been licensed for biomedical applications. Continued research aims to make the devices suitable for molecular analysis in the field.
Soil microbial communities produced more water retaining molecules when enriched with insoluble organic carbon, chitin, compared to a soluble carbon source, N-acetylglucosamine.
James A. Ang, a PNNL computing expert, was recently invited to moderate a panel in a virtual workshop focused on federally funded research and development on software for heterogeneous computing.
Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.
NIH awarded $1.7 million to researchers from PNNL, WSU, and NREL to continue fundamental research into catalytic bias—a phenomenon in the protein environment that shifts the direction and speed of an enzyme’s catalytic reaction.
Tracking down nefarious users is just one example of work at PNNL’s Center for Advanced Technology Evaluation, a computing proving ground supported by DOE’s Advanced Scientific Computing Research program.
Using a large repository of blood samples from military personnel, PNNL and Uniformed Services University scientists have discovered a group of 13 proteins that could provide early detection of head and neck cancers.
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.
Computational scientist Bo Peng attended the 2020 Heidelberg Laureate Forum in recognition of his status as an emerging leader in computational chemistry.
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.
The American Society for Quality (ASQ) has recognized Laboratory Fellow and Pacific Northwest National Laboratory (PNNL) Statistician Greg Piepel with the William G. Hunter Award.
PNNL team has developed and implemented a generalizable computational framework to study the resilience of the multilayered London Rail Network to the compound threat of intense flooding and a targeted cyberattack.
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.