A new study examines how back how back-to-back extreme events can affect a forest landscape.

A gathering of international experts in Portland, Oregon, explored the future of electron microscopy and surfaced potential solutions in areas including new instrument designs, high-speed detectors, and data analytics capabilities.

Small increases in irrigated and rainfed crop production across regions where water remains plentiful could help keep food shelves stocked worldwide.

A new data system—gcamdata—with its robust, clear, and easy-to-use application, was developed to be applied to a variety of Global Change Assessment Model scenarios.

Research software aims to formulate an accurate way to explore feedbacks among socioeconomics, Earth system changes, and crop yield changes

Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.

Xenon search successful! A new scanning transmission electron microscope helps PNNL researchers find xenon deep in a section of nuclear fuel cladding.

Researchers used novel methods to safely create and analyze plutonium samples. The approaches could prove influential in future studies of the radioactive material, benefitting research in legacy, national security and nuclear fuels.

A unique strategy sharpens understanding of the behavior and physics within the model’s atmospheric component.