An end-to-end framework combining domain separation, lightweight ML potentials, and de novo in silico synthesis enables quantitative atomistic modeling of mesoporous metallosilicates that matches experimental densities, pair distribution functions, IR spectra, and hydroxyl densities.
The tested GRACE models were GRACE-2L-OAM, GRACE-1L-OAM, GRACE- FS-OAM as implemented inGRACEMAKERpackage
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An experimentally validated end-to-end framework for operando modeling of intrinsically complex metallosilicates
An end-to-end framework combining domain separation, lightweight ML potentials, and de novo in silico synthesis enables quantitative atomistic modeling of mesoporous metallosilicates that matches experimental densities, pair distribution functions, IR spectra, and hydroxyl densities.