Advanced proteomic analysis tools dig deep into human blood plasma to understand the molecular nature of advanced alcoholic disease.

In a water-containing system, the open circuit potential stabilizes positively charged species and lowers the energy barrier of the reaction.

A new deep learning approach allows researchers to rapidly analyze three-dimensional representations of multi-component catalysts.

Where molybdenum dopants sit within catalytic material affects catalysis at a mechanistic level.

Using electrocatalysis offers a different path for reactions involving polar groups.

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

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.

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

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

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

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.

Development of a one-meter path length miniature ion mobility spectrometer based on multilevel structures for lossless ion manipulations.

A comprehensive understanding of the electronic structure of uranyl ions provides insight into the chemistry of nuclear waste and uranium separation technologies.

PNNL researchers worked to decouple the effects that solvents impose on reactions catalyzed in the liquid phase.

New research finds that reaction rates for cyclic alcohol dehydration increase as ionic strength increases, independent of reaction mechanism.

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

Tetranuclear molybdenum sulfide clusters encaged in zeolites mimic the FeMo-cofactor of nitrogenase, offering a new opportunity for improving industrial hydrotreatment processes.

New research uncovers the mechanism of carbon dioxide reduction by metal-O-Fe bonds of single-metal atoms and metal nanoparticles supported by oxidic surfaces.