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Formation of Complex Ions03:45

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A type of Lewis acid-base chemistry involves the formation of a complex ion (or a coordination complex) comprising a central atom, typically a transition metal cation, surrounded by ions or molecules called ligands. These ligands can be neutral molecules like H2O or NH3, or ions such as CN− or OH−. Often, the ligands act as Lewis bases, donating a pair of electrons to the central atom. These types of Lewis acid-base reactions are examples of a broad subdiscipline called coordination...
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Fabrication of Thin Film Silver/Silver Chloride Electrodes with Finely Controlled Single Layer Silver Chloride
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Bayesian analysis of Ag thin films formation.

Cesar Gallegos1, Paloma Vildoso1, Juan Fernández1

  • 1Laboratory of Surfaces and Nanomaterials, Physics Department, Faculty of Physics and Mathematics sciences, Universidad de Chile, Chile.

Micron (Oxford, England : 1993)
|August 14, 2021
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Summary

This study numerically investigated metallic silver thin film formation. Surface analysis revealed grain growth followed by collapse, consistent with established growth models.

Keywords:
Atomic Force MicroscopeBayesian statisticImage processingMarkov Chain Monte Carlo

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Area of Science:

  • Materials Science
  • Surface Physics
  • Thin Film Deposition

Background:

  • Metallic thin films are crucial in various technological applications.
  • Understanding thin film formation mechanisms is key to controlling material properties.
  • Atomic Force Microscopy (AFM) provides high-resolution surface topography data.

Purpose of the Study:

  • To numerically study the formation of metallic silver thin films.
  • To characterize surface topography and roughness evolution.
  • To analyze grain size and height distributions using advanced statistical methods.

Main Methods:

  • Numerical simulation of thin film formation.
  • Atomic Force Microscopy (AFM) for surface imaging.
  • Power-law model for roughness evolution.
  • Bayesian statistics and Markov Chain Monte Carlo (MCMC) for data analysis.

Main Results:

  • Root mean square roughness followed a power-law model (α=0.74±0.01), aligning with theoretical predictions.
  • Analysis of grain height and size distributions provided insights into film morphology.
  • Bayesian analysis effectively incorporated experimental errors.

Conclusions:

  • The findings suggest a growth mechanism involving individual grain expansion followed by inter-grain collapse.
  • The study validates theoretical models for thin film growth dynamics.
  • Advanced statistical methods enhance the analysis of experimental surface data.