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Adsorption of Atoms on a Crystalline Ice Surface Model: Results from Periodic ab Initio Simulations

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

In cold and dense regions of the interstellar medium, such as molecular clouds, more than 200 gas-phase molecular species have been observed by means of infra-red and rotational spectroscopy techniques alongside solid sub-micrometer sized particles called dust grains. These grains are of uttermost importance because their surfaces serve as meeting points for chemical species that adsorb from the gas phase, diffuse and possibly react to form more complex molecules. These grains consist of a silicate or carbonaceous cores covered in layers of water dominated ices that contain other small volatile molecules such as CO, CO2, NH3, CH3OH. Most of the ice components originate from the adsorption and reaction of bare atoms, e.g., H, C, N and O, on the grain surfaces. An important challenge in Astrochemistry is to characterize the thermodynamics and kinetics of the main reaction steps of the bare atoms forming the ice components on the grain surfaces. As a first step previous to the reaction of these atomic species, in this paper we present results based on quantum chemistry methods on the adsorption of atomic carbon, nitrogen and oxygen on a crystalline water ice surface model mimicking the icy grain surfaces.

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Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 811312 for the project “Astro-Chemical Origins” (ACO). AR is indebted to the “Ramón y Cajal” program. MINECO (project CTQ2017-89132-P) and DIUE (project 2017SGR1323) are acknowledged. BSC-MN is kindly acknowledged for the generous allowance of supercomputing time through the QS-2020-1-0009 project.

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Correspondence to Stefano Ferrero .

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Ferrero, S., Martínez-Bachs, B., Enrique-Romero, J., Rimola, A. (2020). Adsorption of Atoms on a Crystalline Ice Surface Model: Results from Periodic ab Initio Simulations. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_41

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  • DOI: https://doi.org/10.1007/978-3-030-58814-4_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58813-7

  • Online ISBN: 978-3-030-58814-4

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