A comparison between Monte Carlo method and the numerical solution of the Ambartsumian-Chandrasekhar equations to unravel the dielectric response of metals
Autor: | Simone Taioli, Viktor P. Afanas'ev, Olga Yu. Ridzel, Maurizio Dapor, P. S. Kaplya, Nicola M. Pugno, Martina Azzolini |
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Rok vydání: | 2020 |
Předmět: |
Work (thermodynamics)
General Computer Science Ambartsumian-Chandrasekhar equations CPU time Electron transport Monte Carlo REEL Monte Carlo method General Physics and Astronomy 02 engineering and technology Electron 010402 general chemistry 01 natural sciences Spectral line General Materials Science Chandrasekhar limit Physics Surface plasmon General Chemistry 021001 nanoscience & nanotechnology 0104 chemical sciences Computational physics Computational Mathematics Orders of magnitude (time) Mechanics of Materials Reflection (physics) 0210 nano-technology |
Zdroj: | Computational Materials Science. 173:109420 |
ISSN: | 0927-0256 |
DOI: | 10.1016/j.commatsci.2019.109420 |
Popis: | In this work we describe two different models for interpreting and predicting Reflection Electron Energy Loss (REEL) spectra and we present results of a study on metallic systems comparing their respective computational cost and accuracy. These approaches are the Monte Carlo (MC) method and the Numerical Solution (NS) of the Ambartsumian-Chandrasekhr equations. The former is based on a statistical algorithm to sample the electron trajectories within the target material for describing the electron transport. The latter relies on the numerical solution of the Ambartsumian-Chandrasekhar equations using the invariant embedding method. Both methods receive the same input parameters to deal with the elastic and inelastic electron scattering. To test their capability of describing REEL experimental spectra, we use copper, silver, and gold as case studies. Our simulations include both bulk and surface plasmon contributions to the energy loss spectrum by using the effective electron energy loss functions and the relevant extensions to finite momenta. The agreement between MC and NS theoretical spectra with experimental data is remarkably good. Nevertheless, while we find that these approaches are comparable in accuracy, the computational cost of NS is several orders of magnitude lower than the widely used MC. Inputs, routines and data are enclosed with this manuscript via the Mendeley database. |
Databáze: | OpenAIRE |
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