A Rice University-led team has unveiled how tiny molecular structures on industrial catalysts behave during the manufacture of vinyl acetate monomer (VAM), a core ingredient in adhesives, paints, coatings, packaging, textiles and many other products people use every day. By revealing how these molecular palladium-acetate trimers and dimers transform under reaction conditions and control catalyst performance, the work points the way to catalyst designs that could cut energy use, reduce carbon emissions and make global VAM production cleaner and more reliable.

This study introduces the Multidimensional Antiviral Antibody Database (MAAD), a comprehensive and standardized platform integrating sequence, structure, and functional data for antibodies targeting three high-impact RNA virus families. MAAD serves not only as a curated data repository but also as an interactive analytical toolbox designed to support rational antibody engineering, structure-based vaccine design, and AI-driven antibody discovery.

A review paper by scientists from Tianjin University presented light on brain-on-a-chip interfaces (BoCIs)—a groundbreaking technology that fuses lab-grown biological neural networks with electronic systems to enable bidirectional information exchange.

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, incomplete views and hybrid techniques.