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Time delay as the origin of oscillations in anodic Si electrodissolution
Yukiteru Murakami1, Katharina Krischer1
1School of Natural Sciences, Physics Department, Nonequilibrium Chemical Physics, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany.
Iscience
|March 9, 2026
Summary
This study presents a mathematical model for silicon anodic oxidation oscillations. Oscillations depend on oxide defects, electric fields, and time delays, confirmed by simulations and analysis.
Area of Science:
- Electrochemistry
- Materials Science
- Semiconductor Physics
Background:
- Silicon is a crucial semiconductor electrode material.
- Anodic oxidation of silicon in fluoride solutions exhibits complex oscillatory behavior.
- Understanding these oscillations is key for controlling semiconductor processing.
Purpose of the Study:
- To introduce a mathematical model that accurately describes the oscillations during silicon anodic oxidation.
- To identify the critical conditions necessary for the occurrence of these oscillations.
- To validate the model using experimental data and simplify it for further analysis.
Main Methods:
- Development of a mathematical model detailing oxide layer formation, dissolution, composition, and electrostatic potential.
- Numerical simulations to reproduce experimental observations.
- Linear stability analysis of a simplified time-delay model.
Main Results:
- Oscillations are predicted when etching speed correlates with oxide defects, defect density inversely correlates with electric field, and a time delay exists.
- Numerical simulations successfully replicate experimental results.
- Linear stability analysis confirms the critical role of time delay in driving oscillations.
Conclusions:
- The proposed model effectively captures the oscillatory phenomena in silicon anodic oxidation.
- The identified conditions for oscillation are universal and consistent with the point defect model for passive films.
- Time delay is an essential factor for the observed oscillations, providing insights into semiconductor electrode behavior.
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