Unlocking the surface chemistry of ionic minerals: a high-throughput pipeline for modeling realistic interfaces

J Appl Crystallogr. 2024 Mar 15;57(Pt 2):503-508. doi: 10.1107/S1600576724001286. eCollection 2024 Apr 1.

Abstract

A systematic procedure is introduced for modeling charge-neutral non-polar surfaces of ionic minerals containing polyatomic anions. By integrating distance- and charge-based clustering to identify chemical species within the mineral bulk, our pipeline, PolyCleaver, renders a variety of theoretically viable surface terminations. As a demonstrative example, this approach was applied to forsterite (Mg2SiO4), unveiling a rich interface landscape based on interactions with formaldehyde, a relevant multifaceted molecule, and more particularly in prebiotic chemistry. This high-throughput method, going beyond techniques traditionally applied in the modeling of minerals, offers new insights into the potential catalytic properties of diverse surfaces, enabling a broader exploration of synthetic pathways in complex mineral systems.

Keywords: PolyCleaver; Python; interfaces; mineral surfaces.

Grants and funding

The following funding is acknowledged: H2020 European Research Council (grant No. 865657 to Albert Rimola); Partnership for Advanced Computing in Europe AISBL (grant No. 2023R01-112 to Eric Mates-Torres, Albert Rimola); Ministerio de Ciencia, Innovación y Universidades (award to Eric Mates-Torres); Ministerio de Ciencia e Innovación (grant No. PID2021-126427NB-I00 to Albert Rimola).