Fate of hydrogen sulphide on refractory oxide nanoparticles via foundation model-accelerated atomistic modelling and in situ spectroscopy
Year: 2026
Type: article
Abstract: A foundation machine-learned potential screens the adsorption of hydrogen sulphide on silica, forsterite and MgO, and DFT refines every candidate. The DFT-simulated IR spectra reproduce the order of the H–S stretching bands measured in situ .
Source: Nanoscale
DOI: 10.1039/d6nr02993k
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Funders: European High Performance Computing Joint Undertaking, Ministerio de Ciencia, Innovación y Universidades, Ministerstvo Školství, Mládeže a Tělovýchovy, Institució Catalana de Recerca i Estudis Avançats, Agenzia Spaziale Italiana, Ministero dell'Università e della Ricerca, European Research Council, Agencia Estatal de Investigación
OpenAlex ID: W7172384102
