Author(s)

Miao Baohui ¹

Affiliation(s)

¹ Anhui Institute of Information Technology, Wuhu, 241000, China

Corresponding Author

Miao Baohui

ABSTRACT

This research systematically explores the application mechanisms and industrialization pathways of graphene-based anticorrosion coating technologies to address electrochemical corrosion-induced failure issues in long-term photovoltaic module service. Innovatively integrating deep learning technologies, the study constructs an intelligent analytical framework encompassing ResNet-50-based microstructure recognition systems and GRU network performance prediction models, achieving over 100-fold enhancement in analytical efficiency compared to conventional methodologies. Comprehensive lifecycle economic analysis demonstrates that when graphene production costs decline to $50/kg through technological advancement, coating investment Net Present Value reaches $218/m², representing a 72% enhancement. The research proposes a three-phase industrialization roadmap spanning 2025-2035, targeting market penetration exceeding 30%, thereby providing critical technological support for high-quality development of the solar photovoltaic industry. The intelligent framework enables automated identification of coating microstructural parameters, accurate prediction of electrochemical impedance evolution, and dynamic optimization of maintenance strategies. This integrated approach bridges fundamental mechanistic understanding with practical industrial deployment, addressing key challenges including graphene agglomeration behavior, microstructure-performance correlations, and failure mode evolution during extended service periods. The findings establish actionable pathways for transitioning graphene anticorrosion technologies from laboratory research to large-scale commercial applications in both silicon-based and perovskite solar cell systems.

KEYWORDS

Graphene Coating; Solar Cells; Anticorrosion Mechanism; Deep Learning; Failure Prediction

CITE THIS PAPER

Miao Baohui, Graphene Coatings for Corrosion-Resistant Solar Cells: Research Advances and Future Industrialization. Journal of Materials, Processing and Design (2025) Vol. 9: 171-175. DOI: http://dx.doi.org/10.23977/jmpd.2025.090119.

REFERENCES

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[2] Park G ,Lim H ,Jun Y D , et al. Soldering flux causes corrosion of indium tin oxide electrode in heterojunction solar cells[J].Cell Reports Physical Science,2025,6(6):102619
[3] Qingyan P, Xiaodong T ,Mohanapriya V , et al. Author Correction: Effects of ultrasonic-assisted nickel pretreatment method on electroless copper plating over graphene.[J].Scientific reports,2023,13(1):4612
[4] Wenhui X ,Tong X ,Qianyin X , et al. An Applied Study of an Electric Vehicle Revenue Game Model Considering Graphene Battery Materials[J].Managerial and Decision Economics,2024,46(3):1424-1436.
[5] Lakshmaiya N ,Vijetha K ,Doss A S A , et al.Dual-scale evaluation of hybrid Al-SiC/graphene composites: Mechanical properties and deep learning-driven machinability insights[J].Results in Engineering,2025,27105742

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