Cited by Exploration of Factors Affecting the Photoelectric Conversion Rate of Perovskite Photovoltaic Materials Based on Machine Learning Methods

N‐Type Self‐Assembled Monolayers (SAMs): The Next Star Materials in the Perovskite Photovoltaic Field DOI

Xiaoyi Chen,

Ziyao Yue,

H. Yang

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 9, 2025

Self-assembled monolayers (SAMs) play a critical role in modifying the buried interface of perovskite solar cells (PVSCs) by modulating crystallization dynamics perovskites and adjusting energy level alignment between layer electrode. The integration p-type SAMs has driven power conversion efficiency (PCE) inverted p-i-n structured PVSCs to world record 26.7%. However, with traditional n-i-p structures, n-type have not yet achieved comparable breakthroughs. Therefore, unlock full potential SAMs, this review provides comprehensive summary their molecular deposition methods, passivation mechanisms. Recent advances various including fullerene-based, naphthalene imide-based, benzene-based other structures been discussed detail. Finally, future research directions associated challenges are outlined guide efforts toward realizing PVSCs.

Language: Английский

Citations

Ensemble insights: Unlocking the recombination losses in perovskite solar cells using stacked classifier DOI

Basir Akbar, Kil To Chong, Hilal Tayara

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 153, P. 110909 - 110909

Published: April 18, 2025

Language: Английский

Citations

Exploration of Factors Affecting the Photoelectric Conversion Rate of Perovskite Photovoltaic Materials Based on Machine Learning Methods DOI

国锋范

Sustainable Energy, Journal Year: 2024, Volume and Issue: 14(05), P. 65 - 83

Published: Jan. 1, 2024

Language: Английский

Citations