Atomic Scattering For Chemical Analysis Of Surfaces

Reinis Irmejs; Nadav Avidor

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arXiv · 2012.01897

Atomic Scattering For Chemical Analysis Of Surfaces

Reinis Irmejs·Nadav Avidor

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Abstract

The study explores machine learning methods for revealing chemical sensitivity in Helium spin-echo spectroscopy, in order to obtain ultra-sensitive surface analytic technique. We model bi-species co-adsorbed systems and demonstrate that by using deep-learning neural-networks partial surface concentrations are obtainable. An example system of particles with mass 50 and 100 a.m.u was tested with characteristic inter-adsorbate and adsorbate-substrate interactions, with partial surface concentrations being resolvable up to 20% occupancy of adsorption sites, and with modestly high noise level of 4%.

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Reinis Irmejs, Nadav Avidor. 2020-12-03. Atomic Scattering For Chemical Analysis Of Surfaces. https://arxiv.org/abs/2012.01897

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