Simon Ternes, Christoph J. Brabec, Luigi A. Castriotta, Thomas Exlager, Karen Forberich, Alessio Gagliardi, Michael Götte, Florian Mathies, Sinclair Ryley Ratnasingham, Lennart K. Reb, Eva Unger, Aldo Di Carlo
{"title":"混合钙钛矿光伏溶液处理中的工艺参数规范和控制:从特定领域的术语到基于证据的实验工作流程的明确描述","authors":"Simon Ternes, Christoph J. Brabec, Luigi A. Castriotta, Thomas Exlager, Karen Forberich, Alessio Gagliardi, Michael Götte, Florian Mathies, Sinclair Ryley Ratnasingham, Lennart K. Reb, Eva Unger, Aldo Di Carlo","doi":"10.1002/aenm.202503187","DOIUrl":null,"url":null,"abstract":"Within the last 20 years, hybrid perovskite solar cells (PSCs) have reached remarkable power conversion efficiencies. Further, scalability of hybrid perovskite deposition routines and stability of PSCs have been significantly improved. Yet, a critical roadblock remains: Poor reproducibility largely caused by inconsistent control and reporting of process parameters. Key aspects such as the handling of the perovskite solution, the air jet used for drying, or the process atmosphere are often incompletely specified. In response, this review systematically presents the empirical evidence linking process parameters to the film morphology and the device performance for solution-based one-step and two-step deposition routines of highly efficient PSCs as well as large-area perovskite modules. To maximize interdisciplinary understanding, the process parameters are standardized within the thin-film solar cell ontology (TFSCO), structured according to the internal logic of sequential deposition and classified by fundamental mass transfer mechanisms. In a final literature study, the state-of-the-art of parameter reporting is assessed—mirroring to the community where reporting standards can be improved. By using the here-presented parameter list as a template, perovskite workflows become fully and unambiguously specified—bridging the gap between manual and automated process optimization and fostering data-driven acceleration via digital twins of perovskite research.","PeriodicalId":111,"journal":{"name":"Advanced Energy Materials","volume":"3 1","pages":""},"PeriodicalIF":26.0000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Process Parameter Specification and Control in Solution Processing of Hybrid Perovskite Photovoltaics: From Domain-Specific Jargon to Evidence-Based, Unambiguous Description of Experimental Workflows\",\"authors\":\"Simon Ternes, Christoph J. Brabec, Luigi A. Castriotta, Thomas Exlager, Karen Forberich, Alessio Gagliardi, Michael Götte, Florian Mathies, Sinclair Ryley Ratnasingham, Lennart K. Reb, Eva Unger, Aldo Di Carlo\",\"doi\":\"10.1002/aenm.202503187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Within the last 20 years, hybrid perovskite solar cells (PSCs) have reached remarkable power conversion efficiencies. Further, scalability of hybrid perovskite deposition routines and stability of PSCs have been significantly improved. Yet, a critical roadblock remains: Poor reproducibility largely caused by inconsistent control and reporting of process parameters. Key aspects such as the handling of the perovskite solution, the air jet used for drying, or the process atmosphere are often incompletely specified. In response, this review systematically presents the empirical evidence linking process parameters to the film morphology and the device performance for solution-based one-step and two-step deposition routines of highly efficient PSCs as well as large-area perovskite modules. To maximize interdisciplinary understanding, the process parameters are standardized within the thin-film solar cell ontology (TFSCO), structured according to the internal logic of sequential deposition and classified by fundamental mass transfer mechanisms. In a final literature study, the state-of-the-art of parameter reporting is assessed—mirroring to the community where reporting standards can be improved. By using the here-presented parameter list as a template, perovskite workflows become fully and unambiguously specified—bridging the gap between manual and automated process optimization and fostering data-driven acceleration via digital twins of perovskite research.\",\"PeriodicalId\":111,\"journal\":{\"name\":\"Advanced Energy Materials\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":26.0000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Energy Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/aenm.202503187\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Energy Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/aenm.202503187","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Process Parameter Specification and Control in Solution Processing of Hybrid Perovskite Photovoltaics: From Domain-Specific Jargon to Evidence-Based, Unambiguous Description of Experimental Workflows
Within the last 20 years, hybrid perovskite solar cells (PSCs) have reached remarkable power conversion efficiencies. Further, scalability of hybrid perovskite deposition routines and stability of PSCs have been significantly improved. Yet, a critical roadblock remains: Poor reproducibility largely caused by inconsistent control and reporting of process parameters. Key aspects such as the handling of the perovskite solution, the air jet used for drying, or the process atmosphere are often incompletely specified. In response, this review systematically presents the empirical evidence linking process parameters to the film morphology and the device performance for solution-based one-step and two-step deposition routines of highly efficient PSCs as well as large-area perovskite modules. To maximize interdisciplinary understanding, the process parameters are standardized within the thin-film solar cell ontology (TFSCO), structured according to the internal logic of sequential deposition and classified by fundamental mass transfer mechanisms. In a final literature study, the state-of-the-art of parameter reporting is assessed—mirroring to the community where reporting standards can be improved. By using the here-presented parameter list as a template, perovskite workflows become fully and unambiguously specified—bridging the gap between manual and automated process optimization and fostering data-driven acceleration via digital twins of perovskite research.
期刊介绍:
Established in 2011, Advanced Energy Materials is an international, interdisciplinary, English-language journal that focuses on materials used in energy harvesting, conversion, and storage. It is regarded as a top-quality journal alongside Advanced Materials, Advanced Functional Materials, and Small.
With a 2022 Impact Factor of 27.8, Advanced Energy Materials is considered a prime source for the best energy-related research. The journal covers a wide range of topics in energy-related research, including organic and inorganic photovoltaics, batteries and supercapacitors, fuel cells, hydrogen generation and storage, thermoelectrics, water splitting and photocatalysis, solar fuels and thermosolar power, magnetocalorics, and piezoelectronics.
The readership of Advanced Energy Materials includes materials scientists, chemists, physicists, and engineers in both academia and industry. The journal is indexed in various databases and collections, such as Advanced Technologies & Aerospace Database, FIZ Karlsruhe, INSPEC (IET), Science Citation Index Expanded, Technology Collection, and Web of Science, among others.