David Hibbitts

David Hibbitts studies catalysis, the chemistry of how surfaces and materials speed up chemical reactions, with a strong emphasis on computational modeling (density functional theory, DFT) of catalytic materials like zeolites, metal nanoparticles, and metal oxides. His work aims to understand and predict how atomic-scale structure and composition of these materials affect reaction pathways, selectivity, and stability, with applications spanning fuel production, chemical upgrading, polymer recycling, and energy conversion. This research combines computational and, in some cases, experimental approaches to guide the design of improved catalysts.

Publication output has fluctuated over the past decade, peaking sharply in 2019, dipping around 2023, and rising again through 2025-2026, suggesting a generally active but variable publication pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026