Yuang Fu, Luhang Xu, Yuhao Li, Emily J. Yang, Yu Guo, Guilong Cai, Pok Fung Chan, Yubin Ke, Chun-Jen Su, U-Ser Jeng, Philip C. Y. Chow, Ji-Seon Kim, Man-Chung Tang and Xinhui Lu
{"title":"Enhancing inter-domain connectivity by reducing fractal dimensions: the key to passivating deep traps in organic photovoltaics†","authors":"Yuang Fu, Luhang Xu, Yuhao Li, Emily J. Yang, Yu Guo, Guilong Cai, Pok Fung Chan, Yubin Ke, Chun-Jen Su, U-Ser Jeng, Philip C. Y. Chow, Ji-Seon Kim, Man-Chung Tang and Xinhui Lu","doi":"10.1039/D4EE02961E","DOIUrl":null,"url":null,"abstract":"<p >The detrimental impact of non-geminate recombination on high-performance organic photovoltaics has been recognised and primarily attributed to bimolecular recombination. However, the recent surge in Y-series acceptor-based systems has drawn attention to deep-trap-assisted monomolecular recombination. This study reveals the morphological origin of deep traps in the prototypical PM6:Y6 system, identifying isolated crystalline and amorphous Y6 domains as key contributors. The findings underscore the importance of improving inter-acceptor domain connectivity for effective trap passivation. For the first time, we have pinpointed a crucial metric for inversely quantifying the inter-acceptor domain connectivity: the crystalline domain fractal dimension (<em>D</em><small><sub>f</sub></small>). Due to the self-similar nature of fractal structures, the fractal dimension propagates across multi-length scales and can be controlled by tuning local intermolecular aggregation motifs. Remarkably, combining diiodide benzene (DIB) as the additive and layer-by-layer (LBL) processing effectively promotes the more extended backbone order of Y6 molecules, consequently reducing the fractal dimensions and passivating deep traps. By applying this strategy to another high-performance system, D18:L8BO, a benchmark efficiency of 19.6% is achieved, among the highest efficiencies reported for LBL OPVs.</p>","PeriodicalId":72,"journal":{"name":"Energy & Environmental Science","volume":" 22","pages":" 8893-8903"},"PeriodicalIF":32.4000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy & Environmental Science","FirstCategoryId":"88","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/ee/d4ee02961e","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The detrimental impact of non-geminate recombination on high-performance organic photovoltaics has been recognised and primarily attributed to bimolecular recombination. However, the recent surge in Y-series acceptor-based systems has drawn attention to deep-trap-assisted monomolecular recombination. This study reveals the morphological origin of deep traps in the prototypical PM6:Y6 system, identifying isolated crystalline and amorphous Y6 domains as key contributors. The findings underscore the importance of improving inter-acceptor domain connectivity for effective trap passivation. For the first time, we have pinpointed a crucial metric for inversely quantifying the inter-acceptor domain connectivity: the crystalline domain fractal dimension (Df). Due to the self-similar nature of fractal structures, the fractal dimension propagates across multi-length scales and can be controlled by tuning local intermolecular aggregation motifs. Remarkably, combining diiodide benzene (DIB) as the additive and layer-by-layer (LBL) processing effectively promotes the more extended backbone order of Y6 molecules, consequently reducing the fractal dimensions and passivating deep traps. By applying this strategy to another high-performance system, D18:L8BO, a benchmark efficiency of 19.6% is achieved, among the highest efficiencies reported for LBL OPVs.
期刊介绍:
Energy & Environmental Science, a peer-reviewed scientific journal, publishes original research and review articles covering interdisciplinary topics in the (bio)chemical and (bio)physical sciences, as well as chemical engineering disciplines. Published monthly by the Royal Society of Chemistry (RSC), a not-for-profit publisher, Energy & Environmental Science is recognized as a leading journal. It boasts an impressive impact factor of 8.500 as of 2009, ranking 8th among 140 journals in the category "Chemistry, Multidisciplinary," second among 71 journals in "Energy & Fuels," second among 128 journals in "Engineering, Chemical," and first among 181 scientific journals in "Environmental Sciences."
Energy & Environmental Science publishes various types of articles, including Research Papers (original scientific work), Review Articles, Perspectives, and Minireviews (feature review-type articles of broad interest), Communications (original scientific work of an urgent nature), Opinions (personal, often speculative viewpoints or hypotheses on current topics), and Analysis Articles (in-depth examination of energy-related issues).