Rachel B. Getman

Rachel B. Getman's research uses computational chemistry methods (such as density functional theory and machine learning) to study catalytic materials for energy and sustainability applications. This includes designing catalysts for CO2 conversion, ammonia synthesis, and biomass processing, as well as exploring magnetic nanoparticles and peptide-based materials for capturing rare earth elements. The work generally combines theoretical modeling with experimental collaborators to understand reaction mechanisms at surfaces and interfaces.

Publication output has grown over the last decade, rising from about 6 papers per year in 2017-2018 to a sustained pace of 10-14 papers per year from 2023 onward.

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