催交
重组
钙钛矿(结构)
GSM演进的增强数据速率
解码方法
材料科学
光电子学
计算机科学
化学
算法
工程类
系统工程
电信
生物化学
基因
结晶学
作者
Ramkrishna Das Adhikari,Mayur Jagdishbhai Patel,Himangshu Baishya,Deepak Yadav,Manab Kalita,Mizanur Alam,Parameswar Krishnan Iyer
摘要
losses, bridging the gap between the theoretical SQ limit and practical device performance. Subsequently, it delves into recent findings that aim to decipher the multifaced nature and origin of radiative and non-radiative recombination-induced losses within the device stack, assessing their impacts on overall performance. Furthermore, this review emphasizes the application of advanced machine learning techniques to discern dominant recombination mechanisms in PSCs. Finally, it summarizes the notable advanced strategies to mitigate undesirable non-radiative recombination losses, which pave the way to the thermodynamic efficiency limit.
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