Comparison of various Monte Carlo schemes for simulation of low-energy electron transport in matter

Akkerman, A.; Gibrekhterman, A.

doi:10.1016/0168-583x(85)90008-4

Cited by 25 publications

(3 citation statements)

References 22 publications

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“…2,18), were performed using the direct Monte Carlo scheme (for details see 19,20). The basic assumptions used in this scheme are: 1) the electrons interact at random point.s in the bulk of the t.arget; 2) the type of interaction (e.g.…”

Section: The Simulation Modelmentioning

confidence: 99%

Secondary Electron Emission from Alkali Halides Induced by X-Rays and Electrons

et al. 1993

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Section: The Simulation Modelmentioning

confidence: 99%

Secondary Electron Emission from Alkali Halides Induced by X-Rays and Electrons

et al. 1993

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“…Interpretation of the charging phenomenon relies on understanding of its fundamental physical mechanism; to this end, Cazaux has done a series of works from a theoretical perspective [18][19][20]. Because charging is closely related to the dynamical interaction between charged particles and a sample, a Monte Carlo simulation method-which has been demonstrated to be a powerful tool to study the static interaction between electrons and conductive solids [21][22][23][24][25][26][27][28][29][30][31][32]-should also be useful in theoretical investigation of charging problems, once a reasonable physical model for dynamic interaction is put forward. Various authors have already undertaken studies on different charging problems related to electron beam irradiation by using a Monte Carlo method [33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

A Monte Carlo modeling on charging effect for structures with arbitrary geometries

Li¹,

Mao²,

Zou³

et al. 2018

J. Phys. D: Appl. Phys.

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Insulating materials usually suffer charging effects when irradiated by charged particles. In this paper, we present a Monte Carlo study on the charging effect caused by electron beam irradiation for sample structures with any complex geometry. When transporting in an insulating solid, electrons encounter elastic and inelastic scattering events; the Mott cross section and a Lorentz-type dielectric function are respectively employed to describe such scatterings. In addition, the band gap and the electron-long optical phonon interaction are taken into account. The electronic excitation in inelastic scattering causes generation of electron-hole pairs; these negative and positive charges establish an inner electric field, which in turn induces the drift of charges to be trapped by impurities, defects, vacancies etc in the solid, where the distributions of trapping sites are assumed to have uniform density. Under charging conditions, the inner electric field distorts electron trajectories, and the surface electric potential dynamically alters secondary electron emission. We present, in this work, an iterative modeling method for a self-consistent calculation of electric potential; the method has advantages in treating any structure with arbitrary complex geometry, in comparison with the image charge method-which is limited to a quite simple boundary geometry. Our modeling is based on: the combination of the finite triangle mesh method for an arbitrary geometry construction; a self-consistent method for the spatial potential calculation; and a full dynamic description for the motion of deposited charges. Example calculations have been done to simulate secondary electron yield of SiO 2 for a semi-infinite solid, the charging for a heterostructure of SiO 2 film grown on an Au substrate, and SEM imaging of a SiO 2 line structure with rough surfaces and SiO 2 nanoparticles with irregular shapes. The simulations have explored interesting interlaced charge layer distribution underneath the nanoparticle surface and the mechanism by which it is produced.

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“…MCNP, EGS/ BEAM, GEANT, ITS, FLUKA, PENELOPE) which adopt an effective electron energy cut-off (>0.1-1 keV) and an artificial transport-step. A fully microscopic, event-by-event, scheme presents a challenge in terms of low-energy electron interaction physics, since the details of the electronic structure of the target become critical at this range (2) . In that respect, it is important to account for distinctive features of condensed media relative to gases, such as (3) (1) the long-range polarisation of the material and screening of the projectile's field, which leads to weaker scattering probabilities, especially at low incident energies; (2) the collective transitions because of the large electronic density, which results in stronger absorption probabilities at certain energy losses and (3) the lower ionisation thresholds because of quasi-free electron states in the conduction band and the general shifting of the absorption spectrum to higher losses, which lead to a higher ionisation efficiency.…”

Section: Introductionmentioning

confidence: 99%

A Monte-Carlo code for the detailed simulation of electron and light-ion tracks in condensed matter

Emfietzoglou¹,

Papamichael²,

Karava³

et al. 2006

Radiation Protection Dosimetry

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In an effort to understand the basic mechanism of the action of charged particles in solid radiation dosimeters, we extend our Monte-Carlo code (MC4) to condensed media (liquids/solids) and present new track-structure calculations for electrons and protons. Modeling the energy dissipation process is based on a model dielectric function, which accounts in a semi-empirical and self-consistent way for condensed-phase effects which are computationally intractable. Importantly, these effects mostly influence track-structure characteristics at the nanometer scale, which is the focus of radiation action models. Since the event-by-event scheme for electron transport is impractical above several kilo-electron volts, a condensed-history random-walk scheme has been implemented to transport the energetic delta rays produced by energetic ions. Based on the above developments, new track-structure calculations are presented for two representative dosimetric materials, namely, liquid water and silicon. Results include radial dose distributions in cylindrical and spherical geometries, as well as, clustering distributions, which, among other things, are important in predicting irreparable damage in biological systems and prompt electric-fields in microelectronics.

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Comparison of various Monte Carlo schemes for simulation of low-energy electron transport in matter

Cited by 25 publications

References 22 publications

Secondary Electron Emission from Alkali Halides Induced by X-Rays and Electrons

Secondary Electron Emission from Alkali Halides Induced by X-Rays and Electrons

A Monte Carlo modeling on charging effect for structures with arbitrary geometries

A Monte-Carlo code for the detailed simulation of electron and light-ion tracks in condensed matter

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