Catalysts

Machine learning

Bridging Dissolved Organic Matter Reactivity to Ozonation Catalysts for Cu@Al2O3 through Machine Learning

Researchers from the Chinese Research Academy of Environment Sciences have developed a data-driven strategy to design optimal catalysts for treating refractory organic wastewater. By integrating principal component analysis with correlation analysis, the team was able to link wastewater properties to catalyst structural descriptors, revealing stark differences in total organic carbon

Hydrogen

Breakthrough in Hydrogen Production: New Catalyst Enhances Hydrogen Yield from Lignocellulosic Biomass

Researchers at Pennsylvania State University have made a significant breakthrough in hydrogen production, developing a new catalyst that significantly enhances hydrogen yield from lignocellulosic biomass through hydrothermal gasification. The study, published in the journal Next Energy, found that a hierarchical porous carbon (HPC) catalyst prepared from a mixture of biomass