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.

PNNL researcher Erol Cromwell uses neural networks to elucidate subsurface permeability.

Research into practical systems for chemical energy storage will be a focus at the Energy Sciences Center.

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.

New study elucidates the complex relaxation kinetics of supercooled water using a pulsed laser heating technique at previously inaccessible temperatures.

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.

Soil texture and environmental history play a strong role in how different soils respond to moisture extremes like drought and flood.

Researchers used instruments in an airborne lab to characterize aerosol particles and their sources over the remote Eastern North Atlantic.

PNNL postdoctoral fellow Jon Sampedro appointed as an individual expert to a WHO technical advisory group on air pollution and health

Seeking a deeper understanding of when, where, and why large wildfires occur using explainable artificial intelligence.

Local ionic strength within zeolite pores tailors the chemical potential of reacting molecules, leading to high cyclohexanol dehydration activity

Urban pollution greatly increases the number of particles over the Amazon, mainly through new particle formation controlled by biogenic gases.

A high-resolution dataset captures a more complete view of the global distribution and characteristics of strong storms called mesoscale convective systems.

Rising greenhouse gases and declining aerosols have triggered an approximate four-day delay in rainfall over tropical land and the Sahel.

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.

At PNNL, women in engineering tackle some of the world’s most complex problems in environmental science, sustainable energy, and national security.

PNNL provided ultra-low measurements of argon-39 to date groundwater as part of a collaborative study of the aquifer in California’s San Joaquin Valley. PNNL is one of only a few laboratories worldwide with this capability.

PNNL materials scientist Dongsheng Li looks forward to using a co-located collection of advanced research equipment in the new Energy Sciences Center.