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Thin films with high surface roughness: thickness and dielectric function analysis using spectroscopic ellipsometry.

Daniel Lehmann1, Falko Seidel1, Dietrich Rt Zahn1

  • 1Semiconductor Physics, Technische Universität Chemnitz, 09107 Chemnitz, Germany.

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|February 27, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces an optical surface roughness model for accurately determining dielectric functions in rough thin films using spectroscopic ellipsometry. The model simplifies complex evaluations by directly incorporating atomic force microscopy (AFM) measurements.

Keywords:
AFMDielectric functionEllipsometryPTCDIRMSRoughnessThickness

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Area of Science:

  • Materials Science
  • Optics
  • Surface Science

Background:

  • Spectroscopic ellipsometry is a powerful technique for thin film characterization.
  • High surface roughness in thin films complicates optical property determination.
  • Existing models often struggle with films exceeding 10 nm peak-to-valley roughness.

Purpose of the Study:

  • To develop a reliable optical surface roughness model for thin films with significant roughness.
  • To enable accurate dielectric function determination using spectroscopic ellipsometry.
  • To simplify complex optical models by reducing unknown parameters.

Main Methods:

  • Developed a roughness layer (RL) model based on atomic force microscopy (AFM) histogram analysis.
  • Utilized counting statistics for theoretical generalization to non-conducting materials.
  • Integrated root mean square (RMS) values from AFM directly into the optical model.

Main Results:

  • The proposed model reliably determines dielectric functions for thin films with >10 nm peak-to-valley roughness.
  • Demonstrated the model's applicability to organic thin films, exemplified by N,N'-dimethoxyethyl-3,4,9,10-perylene-tetracarboxylic-diimide (DiMethoxyethyl-PTCDI).
  • The model successfully characterized a highly rough DiMethoxyethyl-PTCDI film, previously considered non-homogeneous.

Conclusions:

  • The novel optical surface roughness model enhances thin film analysis via spectroscopic ellipsometry.
  • The model's direct AFM RMS input simplifies parameter reduction in complex optical evaluations.
  • This approach is broadly applicable to non-conducting materials with high surface roughness.