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Reaction-diffusion study of electron-beam-induced contamination growth.

Erich Müller1, Katharina Adrion1, Milena Hugenschmidt2

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Summary

A new reaction-diffusion model explains electron beam-induced contamination growth on surfaces. This model quantifies contaminant flow and polymerization, aiding in reducing unwanted deposition during electron microscopy.

Keywords:
Electron microscopyElectron-beam-induced contaminationReaction-diffusion equation

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Area of Science:

  • Surface science
  • Materials science
  • Electron microscopy

Background:

  • Electron beam irradiation can cause hydrocarbon contamination on surfaces.
  • Understanding contaminant dynamics is crucial for high-resolution imaging and material analysis.

Purpose of the Study:

  • To develop a time-dependent reaction-diffusion model for electron beam-induced contamination.
  • To minimize parameters describing contaminant flow and polymerization.
  • To validate the model against experimental data.

Main Methods:

  • Developed a reaction-diffusion model incorporating diffusion, polymerization, and residual gas effects.
  • Determined model parameters (electron interaction cross-section, diffusion coefficient, initial density, contaminant supply frequency) via experimental comparison.
  • Utilized high-angle annular dark-field scanning-transmission electron microscopy (HAADF-STEM) and Monte Carlo simulations for quantification.
  • Conducted time-resolved experiments with short intervals up to 20 minutes.

Main Results:

  • The model accurately describes the dynamical growth of contamination under electron beam irradiation.
  • Experimental data validated the model's ability to capture contaminant flow and polymerization.
  • The model successfully predicted contamination growth for non-homogeneous initial conditions.

Conclusions:

  • The developed model provides a quantitative understanding of electron beam-induced contamination.
  • The findings can inform strategies to mitigate contamination in electron microscopy.
  • The dynamic analysis may offer insights into contaminant molecule size.