Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells DOI Creative Commons
Jiyun Zhang, Bowen Liu, Ziyi Liu

et al.

Advanced Energy Materials, Journal Year: 2023, Volume and Issue: 13(48)

Published: Nov. 1, 2023

Abstract Simultaneously optimizing the processing parameters of functional thin films remains a challenge. The design and utilization fully automated platform called SPINBOT is presented for engineering solution‐processed films. capable performing experiments with high sampling variability through unsupervised hundreds substrates exceptional experimental control. Through iterative optimization process enabled by Bayesian (BO) algorithm, explores an intricate parameter space, continuously improving quality reproducibility produced This machine learning (ML)‐guided reliable enables acceleration perovskite solar cells via simple photoluminescence characterization As result, this study arrives at optimal film that, when processed into cell in ambient atmosphere, immediately yields champion power conversion efficiency (PCE) 21.6% satisfactory performance reproducibility. unsealed devices retain 90% their initial after 1100 h continuous operation 60–65 °C under metal‐halide lamps. It anticipated that integration robotic platforms intelligent algorithm will facilitate widespread adoption effective autonomous experimentation to address evolving needs constraints within materials science research community.

Language: Английский

Recent progress of scalable perovskite solar cells and modules DOI Creative Commons
Fei Wang, Yu Han,

Dawei Duan

et al.

Energy Reviews, Journal Year: 2022, Volume and Issue: 1(2), P. 100010 - 100010

Published: Nov. 4, 2022

The rapid development of perovskite solar cells (PSCs) over the past decade makes it most promising next generation photovoltaic technology. Splendid progress in efficiency and stability has been demonstrated laboratory level, while endeavours are extremely required to enable successful transfer printable PSC technology industry scale toward commercialization. In this work, recent progresses on upscaling PSCs systematically reviewed. Starting with traditional structure, we have analyzed specially designed configuration for modules (PSMs). comprehensive overview assessment provided technologies engineering large-scale preparation, including both solution processing vapor-phase deposition methods. Considering promoting effect material up PSMs, application additive engineering, solvent interface PSMs is systematacially discussed. Moreover, current packaging device lifetime environmental friendliness emphasized. At last, propose prospects challenges commercialization future meet requirements industry.

Language: Английский

Citations

41

Strain Effects on Flexible Perovskite Solar Cells DOI Creative Commons

Hongbo Liang,

Wenhan Yang, Junmin Xia

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(35)

Published: Oct. 12, 2023

Abstract Flexible perovskite solar cells (f‐PSCs) as a promising power source have grabbed surging attention from academia and industry specialists by integrating with different wearable portable electronics. With the development of low‐temperature solution preparation technology application engineering strategies, conversion efficiency f‐PSCs has approached 24%. Due to inherent properties scenarios f‐PSCs, study strain in these devices is recognized one key factors obtaining ideal promoting commercialization. The strains mainly change bond lattice volume can promote phase transformation, induce decomposition film, decrease mechanical stability, etc. However, effect on performance not been systematically summarized yet. Herein, sources strain, evaluation methods, impacts strategies modulate are summarized. Furthermore, problems future challenges this regard raised, solutions outlooks offered. This review dedicated summarizing enhancing research into provide some new insights that further improve optoelectronic stability flexible devices.

Language: Английский

Citations

39

Stable and environmentally friendly perovskite solar cells induced by grain boundary engineering with self-assembled hydrogen-bonded porous frameworks DOI
Jindan Zhang, Chi Li, Mengqi Zhu

et al.

Nano Energy, Journal Year: 2023, Volume and Issue: 108, P. 108217 - 108217

Published: Jan. 17, 2023

Language: Английский

Citations

32

Stabilizing Bottom Side of Perovskite via Preburying Cesium Formate toward Efficient and Stable Solar Cells DOI
Liangliang Deng, Haoliang Wang,

Saqib Rafique

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(43)

Published: June 21, 2023

Abstract The fragile bottom side of perovskite films is demonstrated to be harmful the efficiency and stability solar cells (PSCs) because carrier extraction recombination can significantly influenced by easily formed strain, voids, defects on side. Nevertheless, usually overlooked it remains a challenge directly characterize modify Herein, facile effective strategy reported stabilize via preburying cesium formate (CsFo) into SnO 2 electron transport layer (ETL). It found that synergistic effect cation (Cs + ) anion (HCOO − causes strain relaxation, void elimination, defects’ reduction, which further facilitate charge extraction. Consequently, champion power conversion (PCE) formamidinium (FA)‐based PSCs increased from 23.34% 24.50%. Meanwhile, ultraviolet (UV), thermal, operational are also enhanced. Finally, formamidinium–cesium (FACs)‐based investigated confirm effectiveness this preburied CsFo strategy, optimal device exhibits PCE 25.03% remarkably high fill factor (FF) 85.65%.

Language: Английский

Citations

32

Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells DOI Creative Commons
Jiyun Zhang, Bowen Liu, Ziyi Liu

et al.

Advanced Energy Materials, Journal Year: 2023, Volume and Issue: 13(48)

Published: Nov. 1, 2023

Abstract Simultaneously optimizing the processing parameters of functional thin films remains a challenge. The design and utilization fully automated platform called SPINBOT is presented for engineering solution‐processed films. capable performing experiments with high sampling variability through unsupervised hundreds substrates exceptional experimental control. Through iterative optimization process enabled by Bayesian (BO) algorithm, explores an intricate parameter space, continuously improving quality reproducibility produced This machine learning (ML)‐guided reliable enables acceleration perovskite solar cells via simple photoluminescence characterization As result, this study arrives at optimal film that, when processed into cell in ambient atmosphere, immediately yields champion power conversion efficiency (PCE) 21.6% satisfactory performance reproducibility. unsealed devices retain 90% their initial after 1100 h continuous operation 60–65 °C under metal‐halide lamps. It anticipated that integration robotic platforms intelligent algorithm will facilitate widespread adoption effective autonomous experimentation to address evolving needs constraints within materials science research community.

Language: Английский

Citations

31