{"title":"Time- and Space-Resolved Characterization of Carrier Dynamics and Defect Evolution in Photovoltaic Devices Using Transient Techniques.","authors":"Zeyu Ma, Guilin Liu, Lan Wang, Yimiao Wang, Yingxue He, Bingjie Zhu, Rubin Liu, Jintong Zhu, Qi Chen","doi":"10.1002/smtd.202501112","DOIUrl":null,"url":null,"abstract":"<p><p>The spatiotemporal interplay between carrier dynamics and defect evolution critically determines solar cell performance yet is often obscured by the limitations of conventional characterization methods. Here, an integrated transient photovoltage (TPV) and photocurrent (TPC) mapping system are presented to diagnose complex defect physics in photovoltaic devices. For Passivated Emitter Rear Cell (PERC) solar cells with artificial surface recombination, a novel analytical framework is demonstrated to visualize defects, overcoming the single-point limitation of conventional transient methods. While conventional lifetime mapping proves insensitive to localized defects due to spatial-averaging effects, whereas a map of the TPV fit variance, which probes local kinetic complexity, serves as a powerful and direct indicator of recombination-active defect zones. In studying the light-induced degradation (LID) of GaAs solar cells, the paradox of power conversion efficiency is resolved, decreasing from 24.45% to 22.45% despite a counterintuitive increase in photoluminescence. An evidence is provided for a light-induced modification of key interfaces, where enhanced electron accumulation elevates the internal carrier population (increasing PL), while a concurrently formed barrier to charge extraction at the contacts degrades overall device performance. This work presents a powerful methodology for moving beyond simple defect mapping to a more profound, mechanism-based understanding of device performance and stability.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e01112"},"PeriodicalIF":9.1000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202501112","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The spatiotemporal interplay between carrier dynamics and defect evolution critically determines solar cell performance yet is often obscured by the limitations of conventional characterization methods. Here, an integrated transient photovoltage (TPV) and photocurrent (TPC) mapping system are presented to diagnose complex defect physics in photovoltaic devices. For Passivated Emitter Rear Cell (PERC) solar cells with artificial surface recombination, a novel analytical framework is demonstrated to visualize defects, overcoming the single-point limitation of conventional transient methods. While conventional lifetime mapping proves insensitive to localized defects due to spatial-averaging effects, whereas a map of the TPV fit variance, which probes local kinetic complexity, serves as a powerful and direct indicator of recombination-active defect zones. In studying the light-induced degradation (LID) of GaAs solar cells, the paradox of power conversion efficiency is resolved, decreasing from 24.45% to 22.45% despite a counterintuitive increase in photoluminescence. An evidence is provided for a light-induced modification of key interfaces, where enhanced electron accumulation elevates the internal carrier population (increasing PL), while a concurrently formed barrier to charge extraction at the contacts degrades overall device performance. This work presents a powerful methodology for moving beyond simple defect mapping to a more profound, mechanism-based understanding of device performance and stability.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.