Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 163750 - 163750
Published: May 1, 2025
Language: Английский
Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 163750 - 163750
Published: May 1, 2025
Language: Английский
Joule, Journal Year: 2025, Volume and Issue: unknown, P. 101850 - 101850
Published: March 1, 2025
Language: Английский
Citations
0Small, Journal Year: 2025, Volume and Issue: unknown
Published: March 20, 2025
Abstract In perovskite solar cells, grain boundaries are considered one of the major structural defect sites, and consequently affect cell performance. Therefore, a precise edge detection grains may enable to predict resulting Herein, deep learning model, Self‐UNet, is developed extract quantify morphological information such as boundary length (GBL), number (NG), average surface area (AGSA) from scanning elecron microscope (SEM) images. The Self‐UNet excels conventional Canny UNet models in extraction; Dice coefficient F1‐score exhibit high 91.22% 93.58%, respectively. accuracy allows for not only identifying tiny stuck between relatively large grains, but also distinguishing actual grooves on low quality SEM images, avoiding under‐ or over‐estimation information. Moreover, gradient boosted decision tree (GBDT) regression integrated exhibits predicting efficiency with relative errors less than 10% compared experimentally measured efficiencies, which corroborated by results literature experiments. Additionally, GBL can be verified multiple ways new feature.
Language: Английский
Citations
0ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown
Published: April 4, 2025
In inverted perovskite solar cells (PSCs), although PTAA (poly[bis(4-phenyl)(2,4,6-trimethylphenyl)amine]) has been extensively utilized as a hole transport material, its inherent poor wettability and energy level misalignment with have become critical issues, limiting the improvement of power conversion efficiency (PCE) long-term stability PSCs. For overcoming these challenges, our study employs typical multifunctional dye molecule, N719 (ditetrabutylammonium cis-bis(isothiocyanato)bis(2,2'-bipyridyl-4,4'-dicarboxylato) ruthenium(II)), to modify PTAA. Thanks incorporation hydrophilic functional groups in N719, PTAA/N719 film is improved, which turn boosts crystallinity film. Additionally, rich can interact uncoordinated Pb2+, thereby reducing defect state density perovskite. Furthermore, improved alignment enhances extraction capability. Ultimately, champion device fabricated based on had PCE high 23.83%, showing significant compared unmodified (20.80%). Moreover, N719-modified devices exhibited superior stability, unencapsulated maintaining greater than 81% initial value after being stored for 1500 h under ambient conditions at room temperature. This demonstrates that dyes represent promising material enhancing performance
Language: Английский
Citations
0Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110944 - 110944
Published: April 1, 2025
Language: Английский
Citations
0Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 163750 - 163750
Published: May 1, 2025
Language: Английский
Citations
0