High-Precision Inversion Algorithm and Full-Spectrum Optimization for Silicon Carbide Epitaxial Layer Thickness Based on Single-Reflection Interference Model

Authors

  • Boye Dai

DOI:

https://doi.org/10.54097/g2bw3z06

Keywords:

Fresnel coefficient method, half-wave loss, nonlinear least squares.

Abstract

To address measurement errors in infrared interferometry caused by neglecting complex optical effects during epitaxial layer thickness determination, this study focuses on modeling and optimization for silicon carbide (SiC) epitaxial layer thickness inversion. First, utilizing Snell's law, the optical path difference formula, and interference conditions, a two-beam interference model based on single reflection was derived. This established the relationship between epitaxial layer thickness d and wavelength "λ", refractive index n, and incident angle "θ", accounting for the functional relationship n=f(C, "λ" ) where refractive index n varies with dopant carrier concentration C and wavelength "λ" . Second, based on this interference model and incorporating multi-band reflectance spectral data, a high-precision thickness inversion algorithm was designed. The core of this algorithm lies in achieving precise characterization of refractive index variation with wavelength (dispersion) through Nth-order polynomial fitting, while introducing an incident angle correction. Key optimization steps include adopting the Fresnel coefficient method to uniformly describe s/p polarization and naturally incorporating the influence of half-wave loss on the position of interference maxima. Ultimately, high-precision thickness inversion was achieved by constructing a nonlinear least-squares optimization objective function E(d, "θ" ) based on full-spectrum reflectance. Numerical results demonstrate that this optimized model reduces thickness calculation errors by approximately 15% when accounting for wavelength dependence and incident angle correction.

References

[1] Lu Runlin, Zheng Lili, Zhang Hui, et al. Effect of Thermal Wall CVD Process on Thickness Uniformity of 8-inch SiC Epitaxial Layers [J]. Journal of Artificial Crystals, 2025, 54(09): 1509-1524.

[2] Yin Haotian, Xue Hongwei, Wu Huiwang, et al. Study on the Origin of High-Density Σ-Type Base Plane Dislocations in 4H-SiC Epitaxial Layers [J]. Micro/Nano Electronics Technology, 2025, 62(07): 44-50.

[3] Ma Mengjie, Wang Yinhai, Deng Xuehua, et al. Study on the Influence of Mismatch Dislocations on Geometric Parameters During Epitaxy on Heavily Doped Substrate Silicon [J/OL]. Electronics and Packaging, 1-6 [2025-10-13].

[4] Zhu, Huaneng. Preparation of High-Quality Aluminum Nitride Films and Study on Sc Doping [D]. Chongqing Jiaotong University, 2025.

[5] Li, Mingda; Li, Puseng. Research on Ultra-Thick Film Silicon Epitaxial Materials Prepared on Heavily Doped Silicon Substrates for High-Voltage, High-Power FRD Devices [J]. Electronic Components and Information Technology, 2025, 9(06): 31-33+37.

[6] Fang Yulong, Li Shuai, Lu Weili, et al. Research on Thick Epitaxial Technology for Breakdown Region of Silicon Carbide Devices Above 10 kV [J]. Micro/Nano Electronics Technology, 2025, 62(06): 26-32.

[7] Zong Jiawei. Research on Key Technologies for Optoelectronic Integrated Photoconductive Switches [D]. China Electronics Technology Group Corporation, Electronics Science Research Institute, 2025.

[8] Guo, Siyu. Research on Pixel Design for High-Performance TDI Image Sensors Based on CCD-in-CMOS Technology [D]. University of Chinese Academy of Sciences (Changchun Institute of Optics, Mechanics and Physics, Chinese Academy of Sciences), 2025.

[9] Wang Yiwei. Research on Materials for 4.6μm Quantum Cascade Lasers [D]. China Electronics Technology Group Corporation, Electronics Science Research Institute, 2025.

[10] Zhai Yue. Research on the Preparation of Thick-Layer High-Resistance Silicon Epitaxial Materials Without Slip Lines for Power Devices [J]. Today's Manufacturing and Upgrading, 2025, (05): 4-6.

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Published

21-01-2026

Issue

Section

Articles

How to Cite

Dai, B. (2026). High-Precision Inversion Algorithm and Full-Spectrum Optimization for Silicon Carbide Epitaxial Layer Thickness Based on Single-Reflection Interference Model. Mathematical Modeling and Algorithm Application, 8(1), 5-13. https://doi.org/10.54097/g2bw3z06