MoS 2 Interface Engineering for Lead-Free RbGeI 3 Perovskite Photodetectors: SCAPS-1D and Machine Learning Optimization

Interface engineering represents an effective strategy for passivating interfacial defects and suppressing dark current in photodetectors. Numerical simulations of an ITO/TiO 2 /MoS 2 /RbGeI 3 /Cu 2 O/Au n-i-p heterojunction demonstrate the efficacy of a MoS 2 interlayer in enhancing device performance. Systematic optimization of the MoS 2 intrinsic parameters and associated interfacial defect properties is performed. This optimization leads to a substantial reduction in dark current density at −0.6 V, from approximately 3 × 10 −7 to 1 × 10 −9 mA cm −2 . Consequently, the specific detectivity at 600 nm increases from 4.5 × 10 13 Jones to 9.1 × 10 14 Jones, while external quantum efficiency and responsivity remain stable. Furthermore, machine learning models reveal that the TiO 2 /MoS 2 interfacial defect density is the primary contributor to variations in dark current, whereas the MoS 2 /RbGeI 3 interfacial defect density most strongly affects the external quantum efficiency. The impact of other parameters is comparatively minor. These findings provide a clear guideline for optimizing lead-free perovskite photodetectors incorporating functional interlayers.

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Publication Details

Journal
Modern Physics Letters B
Published
2026-08-20
DOI
https://doi.org/10.1142/s0217984926502052
Primary Topic
Perovskite Materials and Applications
Type
article
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article

MoS 2 Interface Engineering for Lead-Free RbGeI 3 Perovskite Photodetectors: SCAPS-1D and Machine Learning Optimization

Jiang Zhao, Yuhan Zhang, Tianyu Shang
Modern Physics Letters B
Perovskite Materials and Applications
article

MoS 2 Interface Engineering for Lead-Free RbGeI 3 Perovskite Photodetectors: SCAPS-1D and Machine Learning Optimization

Jiang Zhao, Yuhan Zhang, Tianyu Shang
article en

Abstract

Interface engineering represents an effective strategy for passivating interfacial defects and suppressing dark current in photodetectors. Numerical simulations of an ITO/TiO 2 /MoS 2 /RbGeI 3 /Cu 2 O/Au n-i-p heterojunction demonstrate the efficacy of a MoS 2 interlayer in enhancing device performance. Systematic optimization of the MoS 2 intrinsic parameters and associated interfacial defect properties is performed. This optimization leads to a substantial reduction in dark current density at −0.6 V, from approximately 3 × 10 −7 to 1 × 10 −9 mA cm −2 . Consequently, the specific detectivity at 600 nm increases from 4.5 × 10 13 Jones to 9.1 × 10 14 Jones, while external quantum efficiency and responsivity remain stable. Furthermore, machine learning models reveal that the TiO 2 /MoS 2 interfacial defect density is the primary contributor to variations in dark current, whereas the MoS 2 /RbGeI 3 interfacial defect density most strongly affects the external quantum efficiency. The impact of other parameters is comparatively minor. These findings provide a clear guideline for optimizing lead-free perovskite photodetectors incorporating functional interlayers.

Modern Physics Letters B
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Perovskite Materials and Applications
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MoS 2 Interface Engineering for Lead-Free RbGeI 3 Perovskite Photodetectors: SCAPS-1D and Machine Learning Optimization — Jiang Zhao, Yuhan Zhang, et al. · Modern Physics Letters B (2026) | TGRS Research Map | TGRS