A descriptor-driven framework for SiNx:H in crystalline silicon solar cells: linking bonding configuration to device performance and reliability

Hydrogenated silicon nitride (SiN x :H) is a cornerstone material in crystalline silicon photovoltaics, simultaneously providing antireflection functionality and defect passivation. However, these roles are typically treated independently, limiting predictive optimization, particularly in advanced architectures such as TOPCon, bifacial, and silicon-based tandem solar cells. This review synthesizes the literature on plasma-enhanced chemical vapor deposited (PECVD) SiN x :H into a descriptor-driven framework that unifies deposition conditions, bonding configuration, material descriptors, and device performance. The reviewed literature indicates that key parameters, including refractive index, hydrogen bonding states, fixed charge density, and interface defect density originate from a common amorphous Si–N–H network and are intrinsically coupled. This coupling governs optical response, hydrogen-mediated passivation, and long-term stability, leading to unavoidable trade-offs under conventional single-parameter optimization. Drawing on reported hydrogen kinetics and bonding stability studies, this review identifies their central role in determining both initial device performance and reliability under thermal and environmental stress. Furthermore, the surveyed literature indicates that the function of SiN x :H evolves from a standalone coating in conventional cells to a system-integrated material in advanced device architectures. This review provides a physically grounded basis for multi-parameter optimization and highlights key design constraints for next-generation silicon solar cells, enabling improved efficiency and long-term stability.

Authors

Institutions

Publication Details

Journal
Solar Energy
Published
2026-10-09
DOI
https://doi.org/10.1016/j.solener.2026.115221
Primary Topic
Silicon and Solar Cell Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A descriptor-driven framework for SiNx:H in crystalline silicon solar cells: linking bonding configuration to device performance and reliability

Junsin Yi, Hasnain Yousuf, Youngkuk Kim, Donghyun Oh et al.
Solar Energy
Silicon and Solar Cell Technologies
article

A descriptor-driven framework for SiNx:H in crystalline silicon solar cells: linking bonding configuration to device performance and reliability

Junsin Yi, Hasnain Yousuf, Youngkuk Kim, Donghyun Oh, Muhammad Tahir, Rafi ur Rahman, Muhammad Quddamah Khokhar, Shahzada Qamar Hussain, Alamgeer
article en

Abstract

Hydrogenated silicon nitride (SiN x :H) is a cornerstone material in crystalline silicon photovoltaics, simultaneously providing antireflection functionality and defect passivation. However, these roles are typically treated independently, limiting predictive optimization, particularly in advanced architectures such as TOPCon, bifacial, and silicon-based tandem solar cells. This review synthesizes the literature on plasma-enhanced chemical vapor deposited (PECVD) SiN x :H into a descriptor-driven framework that unifies deposition conditions, bonding configuration, material descriptors, and device performance. The reviewed literature indicates that key parameters, including refractive index, hydrogen bonding states, fixed charge density, and interface defect density originate from a common amorphous Si–N–H network and are intrinsically coupled. This coupling governs optical response, hydrogen-mediated passivation, and long-term stability, leading to unavoidable trade-offs under conventional single-parameter optimization. Drawing on reported hydrogen kinetics and bonding stability studies, this review identifies their central role in determining both initial device performance and reliability under thermal and environmental stress. Furthermore, the surveyed literature indicates that the function of SiN x :H evolves from a standalone coating in conventional cells to a system-integrated material in advanced device architectures. This review provides a physically grounded basis for multi-parameter optimization and highlights key design constraints for next-generation silicon solar cells, enabling improved efficiency and long-term stability.

Solar EnergyVol. 319
Abdul Wali Khan University Mardan (PK), La Trobe University (AU), Sungkyunkwan University (KR)
Openalex Percentile: Top 23%
Silicon and Solar Cell Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.