Multilayer modeling of porous grain surface chemistry I. The GRAINOBLE model
Vianney Taquet, Cecilia Ceccarelli, Claudine Kahane

TL;DR
This paper introduces a multilayer model for grain surface chemistry in prestellar cores, predicting complex mantle compositions and radical trapping influenced by porosity and layering, aiding understanding of early star formation chemistry.
Contribution
The paper presents a novel multilayer, porous grain mantle model that captures chemical differentiation and radical trapping, improving upon previous single-layer approaches.
Findings
Radicals are predicted to be abundant in grain mantles.
Mantle composition varies with depth, density, and age of the core.
Porous structure enhances radical trapping.
Abstract
Mantles of iced water, mixed with CO, H2CO, and CH3OH are formed during the so called prestellar core phase. In addition, radicals are also thought to be formed on the grain surfaces, and to react to form complex organic molecules later on, during the warm-up phase of the protostellar evolution. We aim to study the formation of the grain mantles during the prestellar core phase and the abundance of H2CO, CH3OH, and radicals trapped in them. We have developed a macrosopic statistic multilayer model that follows the formation of grain mantles with time and that includes two effects that may increase the number of radicals trapped in the mantles: i) at each time of the mantle formation, only the surface layer is chemically active rather than the entire bulk, and ii) the porous structure of grains allows to trap reactive particles. The model considers a network of H, O and CO forming…
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