Scientists combined detailed images and coordinated time-series multiomics data to show how protein complexes regulate carbon fixation as light conditions change.

Researchers discovered that frustrated electric forces drive a novel precipitation pathway called microphase separation and identified a precursor intermediate state of ordered ion networks.

Separating quantum circuit wiring from molecular data allows researchers to more efficiently perform quantum simulations

Demonstrated that cathodic potential accelerates aqueous phase benzaldehyde hydrogenation.

Amine functionalized graphene oxide yields laminates with an enhanced capacity to adsorb rare earth elements, improved water transport, and greater stability for effective membrane-based separation of critical minerals.

Establishing how electronic redistribution, protonation, and solvent rearrangement are coupled during a proton-coupled electron transfer process.

By selectively stabilizing either a right- or left-handed helical pose of its substrate, an enzyme tunes the final product.

Research provided definitive spectroscopic characterization, reactivity, and deactivation of a reactive monomeric diphosphine-copper hydride intermediate.

Genesis Mission awards to PNNL will advance scientific discovery, next-generation energy systems and advanced manufacturing, among others.

New software enables the study of nuclear quantum effects in large, condensed phase systems up to 10× faster than traditional methods.

Protein and water environments set the overall redox scale of iron-sulfur clusters, but local coordination geometry fine-tunes the final potential.

New theoretical framings of quantum dynamics enable better quantum-based simulation of molecular systems and dynamics.

Chiral nanotubes facilitate the direction-specific diffusion of carbon dioxide to be faster than nitrogen gas.

A newly published custom collection of glass formulas for nuclear waste vitrification — developed and validated by PNNL over the past three years — was made possible in that timeframe with AI tools, including a PNNL machine learning model.

Scientists are optimizing microbes to harvest critical minerals and produce bioproducts using AI and autonomous lab equipment.

An international research team deployed AI-powered computing to solve important chemical structures for energy applications using NVIDIA hardware.

Integrating new functions into a genome-scale model enabled researchers to simulate and experimentally validate viral hijacking pathways.

A suite of new modeling methods gives researchers better tools to predict molecular behavior inside cavities.

Margaret Cheung elected to premier scientific society.

The Hanford Site is now immobilizing radioactive waste in glass: a process known as vitrification. PNNL contributed 60 years of materials science expertise—and is providing operational support—to help the nation meet this cleanup milestone.