More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.
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.
The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.
The most polluted U.S. communities from five years ago are still the most polluted today, 50 years after passage of the Clean Air Act amendments of 1970.
A new research partnership between PNNL and the University of Nevada, Reno aims to tackle critical challenges such as climate change, infrastructure resilience and cybersecurity.
The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.
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.
PNNL computational scientist Diana Bacon’s role as carbon storage associate editor uses her expertise in subsurface modeling and quantitative risk assessment.
A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.