EPMA analysis of insulating materials: Monte Carlo simulations and experiments

被引:8
|
作者
Ghorbel, N
Fakhfakh, S
Jbara, O
Odof, S
Rondot, S
Fakhfakh, Z
Kallel, A
机构
[1] CNRS, DTI UMR 6107, Fac Sci, F-51687 Reims, France
[2] SFAX, Fac Sci, LaMaCop, Sfax 3018, Tunisia
[3] ESIEC, Esplanade Roland Garros, F-51686 Reims, France
关键词
D O I
10.1088/0022-3727/38/8/022
中图分类号
O59 [应用物理学];
学科分类号
摘要
Using a realistic model for the electric field build-up that takes into account detrapping processes in insulating materials irradiated by electrons, a Monte Carlo approach has been applied to ground-coated binary oxides such as Al2O3 and Nb2O5. Changes entailed by the internal electric field build-up on the generation of the characteristic x-ray quanta and also on backscattered electron emission are investigated. The results clearly show that the depth distribution of characteristic x-ray production is modified and the Phi (pz) function for both metal and oxygen K-alpha lines is compressed towards the surface while the backscattering electron emission is roughly unchanged. The change of the x-ray intensities as a function of the electric field is clearly established. The outcome is checked experimentally by measuring simultaneously the trapped charge and the emitted x-ray spectra during electron irradiation.
引用
收藏
页码:1239 / 1247
页数:9
相关论文
共 50 条
  • [31] Monte Carlo simulations of the evolution of helium depth distribution in materials
    Zhou Yu-Lu
    Li Ren-Shun
    Zhang Bao-Ling
    Deng Ai-Hong
    Hou Qing
    ACTA PHYSICA SINICA, 2011, 60 (06)
  • [32] Monte Carlo simulations of adsorbed solutions in heterogeneous porous materials
    Vuong, T
    Monson, PA
    ADSORPTION-JOURNAL OF THE INTERNATIONAL ADSORPTION SOCIETY, 1999, 5 (04): : 295 - 304
  • [33] Quantum Monte Carlo simulations of disordered magnetic and superconducting materials
    Scalettar, RT
    Denteneer, PJH
    Huscroft, C
    McMahan, A
    Pollock, R
    Randeria, M
    Trivedi, N
    Ulmke, M
    Zimanyi, GT
    TIGHT-BINDING APPROACH TO COMPUTATIONAL MATERIALS SCIENCE, 1998, 491 : 155 - 166
  • [34] Monte Carlo Simulations of Adsorbed Solutions in Heterogeneous Porous Materials
    T. Vuong
    P.A. Monson
    Adsorption, 1999, 5 (4) : 295 - 304
  • [35] Tunable Formation of Ferromagnetic Nanoparticle Rings: Experiments and Monte Carlo Simulations
    Ding, Wang-Feng
    Li, Ziwei
    Zhou, Hang
    Zhao, Bo
    Wan, Jian-guo
    Song, Fengqi
    Wang, Guang-Hou
    JOURNAL OF PHYSICAL CHEMISTRY C, 2012, 116 (19): : 10805 - 10813
  • [36] MULTIPLE DISCOVERY - SOME MONTE-CARLO SIMULATIONS AND GEDANKEN EXPERIMENTS
    SIMONTON, DK
    SCIENTOMETRICS, 1986, 9 (5-6) : 269 - 280
  • [37] Monte Carlo simulations of a low energy proton beamline for radiobiological experiments
    Dahle, Tordis J.
    Rykkelid, Anne Marit
    Stokkevag, Camilla H.
    Mairani, Andrea
    Gorgen, Andreas
    Edin, Nina J.
    Rorvik, Eivind
    Fjaera, Lars Fredrik
    Malinen, Eirik
    Ytre-Hauge, Kristian S.
    ACTA ONCOLOGICA, 2017, 56 (06) : 779 - 786
  • [38] Spheroid Formation of Hepatocarcinoma Cells in Microwells: Experiments and Monte Carlo Simulations
    Wang, Yan
    Kim, Myung Hee
    Tabaei, Seyed R.
    Park, Jae Hyeok
    Na, Kyuhwan
    Chung, Seok
    Zhdanov, Vladimir P.
    Cho, Nam-Joon
    PLOS ONE, 2016, 11 (08):
  • [39] Monte Carlo simulations of (e,2e) experiments on solids
    Vos, M
    Bottema, M
    PHYSICAL REVIEW B, 1996, 54 (08): : 5946 - 5954
  • [40] Hydrophobic/hydrophilic solvation: inferences from Monte Carlo simulations and experiments
    Stone, MT
    In 't Veld, PJ
    Lu, Y
    Sanchez, IC
    MOLECULAR PHYSICS, 2002, 100 (17) : 2773 - 2792