Research organizations work toward compelling market-ready solutions for building operations.

New research makes molecular-level calculations of water faster and easier.

New research shows that compressing quantum circuits decreases noise and increases the accuracy of quantum calculations.

Researchers isolated a molecular copper hydride monomer for the first time.

PNNL worked with the Department of Energy on the Commercial Packaged Boiler rule, which will help reduce energy use, enhance the environment, and save dollars.

A newly funded research project aims to develop theoretical approaches to describe strong interactions between confined light and molecules.

A process developed at PNNL that converts biomass and waste into a chemical intermediate or into gasoline, diesel, and jet fuel is available for commercial licensing.

A new simple and scalable synthesis produces nanoparticle assemblies that can perform catalytic hydrogen sensing at room temperature for the first time.

A study that combined experiments and theory showed how model enzymes control challenging reactions involving highly reactive carbocations.

Researchers studied water cycling to assess the achievability of net-zero water usage at military installations in the Pacific Islands.

A new approach to epitaxial growth can produce different complex oxides through ion movement.

By decreasing the amount of precious metal in a catalyst, the system increased its efficiency and selectivity for breaking apart plastics.

The buried interfaces between sections of a doped material can play a key role in the overall electronic properties of the system.

The size and concentration of ions influences the aggregation behavior of solutions of boehmite.

PNNL internships in science, technology, engineering, and math (STEM) provide students with valuable opportunities for STEM careers.

Protein ribbons direct and facilitate the formation of a calcium-based mineral that forms tooth enamel.

PNNL researchers developed a hybrid quantum-classical approach for coupled-cluster Green’s function theory that maintains accuracy while cutting computational costs.

PNNL researchers created a model that helps materials scientists not only predict what is, but what could be.

PNNL researchers design an artificial intelligence-guided electron microscope in a Laboratory Directed Research and Development study.

The Co-Optimization of Fuels & Engines initiative recently outlined six years of research in a findings and impact report.