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.

PNNL researchers teamed up with SambaNova to enhance artificial intelligence for scientific computing.

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.

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

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 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.

A new perspective article discusses how integrating carbon dioxide capture and conversion in solvents can lead to cheaper and more efficient carbon management systems.

Tuning the environment and platinum-group metal allows researchers to control which bonds the catalyst breaks using hydrogen.

The size of the alkali metal within the material influences the crystallization pathway.

Structural changes in heavy water occur at different temperatures than in standard water.

Providing a perspective on the importance of integrating experimental work with theory and simulations when designing new carbon capture solvents.

Combining advanced powder synthesis with solid state processing allows researchers to streamline oxide dispersion-strengthened steel fabrication.

Performing a network analysis of forces between particles reveals new insight into shear induced thinning and thickening in non-Newtonian fluids.

Ionic liquids bound to thin layers of graphene oxide produces more selective and efficient multi-layer membranes for water filtration.

IDREAM researchers show that high concentrations of sodium hydroxide significantly impact the molecular and macroscale properties of sodium nitrite solutions.