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Software acceleration techniques for the simulation of scanning electron microscope images.

Adam Seeger1, Charalampos Fretzagias, Russell Taylor

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|January 30, 2004
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Summary

A new scanning electron microscope (SEM) simulator was developed, significantly accelerating image generation through optimized electron trajectory calculations. This advanced tool enables faster, quantitatively accurate SEM simulations for complex surfaces.

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Area of Science:

  • Materials Science
  • Computational Physics
  • Microscopy

Background:

  • Scanning Electron Microscopy (SEM) is crucial for surface analysis.
  • Accurate SEM image simulation is computationally intensive.
  • Existing simulation methods can be slow and limited in scope.

Purpose of the Study:

  • To develop a faster and more accurate SEM image simulator.
  • To improve computational efficiency for simulating unconstrained surfaces.
  • To extend previous SEM simulation models with advanced techniques.

Main Methods:

  • Developed an object-oriented SEM simulator based on MONSEL software models.
  • Implemented optimization methods using precomputation of electron trajectories.
  • Utilized parallelization techniques to accelerate calculations.

Main Results:

  • Achieved speedup factors of 5-100 on a single processor and 100-2000 on 30 processors.
  • Optimizations did not introduce additional approximations, maintaining quantitative accuracy.
  • Demonstrated the simulator's capability with examples of simulated images.

Conclusions:

  • The developed SEM simulator offers significant speed improvements over unoptimized methods.
  • The system is capable of simulating quantitatively accurate SEM images for complex surfaces.
  • The work provides a valuable tool for advancing SEM-based surface analysis.