Electron transport layer(ETL)is very critical to the performance of perovskite solar cells(PSCs),and optimization work on ETL has received extensive attentions especially on tin oxide(SnO_(2))since it is an excellent ...Electron transport layer(ETL)is very critical to the performance of perovskite solar cells(PSCs),and optimization work on ETL has received extensive attentions especially on tin oxide(SnO_(2))since it is an excellent ETL material widely applied in high-efficiency PSCs.Thereinto,introducing mesoporous structure and surface modification are two important approaches which are commonly applied.Herein,based on the previous work in low-temperature fabrication process of mesoporous SnO_(2)(mSnO_(2)),we introduced a modification process with rubidium fuoride(Rb F)to the m-SnO_(2)ETL,and successfully achieved a synergy of the m-SnO_(2)and Rb F modification:not only the shortcoming of the m-SnO_(2)in interfacial traps was overcome,but also the carrier collection efficiency was further improved.The PSCs based on the m-SnO_(2)ETL with Rb F modification demonstrated outstanding performances:a champion power conversion efficiency(PCE)of 22.72%and a stability performance of maintaining 90%of the initial PCE after 300 h of MPP tracking were obtained without surface passivation of perovskite film.Hence,utilizing the abovementioned synergy is a cost-effective and feasible strategy for fabricating high-efficiency and stable PSCs since the fabrication process of the m-SnO_(2)ETL is a kind of low temperature process and RbF is cheap.展开更多
The MGM(1,m,N)model is an effective grey multi-variate forecasting model that considers multiple system characteristic sequences affected by multiplefactors.Nevertheless,it isregularly inaccurate in the application Th...The MGM(1,m,N)model is an effective grey multi-variate forecasting model that considers multiple system characteristic sequences affected by multiplefactors.Nevertheless,it isregularly inaccurate in the application This is because the model requires a strong correlation between the system characteristic sequences That reduces the applicability of the model.To solve this problem,this paper proposes a novel multi-variate grey model.This model does not require a certain correlation between system characteristic sequences and has higher applicability Through numerical integration,a two-point trapezoidal formula,and a recursive method,thetime-response expressions ofthetwo model forms are obtained Some properties of the proposed model are further discussed Finally,the validity of the proposed model is evaluated by using two real cases related to China's invention patent development.Theresultsshow that the novel models outperformother models inbothsimulation and prediction applications.展开更多
基金mainly supported by the operational funds of Institute of Photovoltaic,Southwest Petroleum University and Sichuan Science and Technology Program(2018JY0015)。
文摘Electron transport layer(ETL)is very critical to the performance of perovskite solar cells(PSCs),and optimization work on ETL has received extensive attentions especially on tin oxide(SnO_(2))since it is an excellent ETL material widely applied in high-efficiency PSCs.Thereinto,introducing mesoporous structure and surface modification are two important approaches which are commonly applied.Herein,based on the previous work in low-temperature fabrication process of mesoporous SnO_(2)(mSnO_(2)),we introduced a modification process with rubidium fuoride(Rb F)to the m-SnO_(2)ETL,and successfully achieved a synergy of the m-SnO_(2)and Rb F modification:not only the shortcoming of the m-SnO_(2)in interfacial traps was overcome,but also the carrier collection efficiency was further improved.The PSCs based on the m-SnO_(2)ETL with Rb F modification demonstrated outstanding performances:a champion power conversion efficiency(PCE)of 22.72%and a stability performance of maintaining 90%of the initial PCE after 300 h of MPP tracking were obtained without surface passivation of perovskite film.Hence,utilizing the abovementioned synergy is a cost-effective and feasible strategy for fabricating high-efficiency and stable PSCs since the fabrication process of the m-SnO_(2)ETL is a kind of low temperature process and RbF is cheap.
基金Supported bythe National Natural Science Foundation of China(71701105)the Major Program of the National Social Science Fund of China(17ZDA092)+1 种基金the Key Research Project of Philosophy and Social Sciences in Universities of Jiangsu Province(2018SJZDI111)Key Projects of Open Topics of Jiangsu Productivity Society in2020(JSSCL2020A004)。
文摘The MGM(1,m,N)model is an effective grey multi-variate forecasting model that considers multiple system characteristic sequences affected by multiplefactors.Nevertheless,it isregularly inaccurate in the application This is because the model requires a strong correlation between the system characteristic sequences That reduces the applicability of the model.To solve this problem,this paper proposes a novel multi-variate grey model.This model does not require a certain correlation between system characteristic sequences and has higher applicability Through numerical integration,a two-point trapezoidal formula,and a recursive method,thetime-response expressions ofthetwo model forms are obtained Some properties of the proposed model are further discussed Finally,the validity of the proposed model is evaluated by using two real cases related to China's invention patent development.Theresultsshow that the novel models outperformother models inbothsimulation and prediction applications.
