In this study,α-Bi2O_(3)/g-C_(3)N_(4) nanocomposite with direct Z-scheme was successfully prepared through calcination of BiOCOOH/g-C_(3)N_(4) precursor at different temperature.Meanwhile,the effect of calcination te...In this study,α-Bi2O_(3)/g-C_(3)N_(4) nanocomposite with direct Z-scheme was successfully prepared through calcination of BiOCOOH/g-C_(3)N_(4) precursor at different temperature.Meanwhile,the effect of calcination temperature on the physicochemical properties ofα-Bi2O_(3)/g-C_(3)N_(4) was studied.All results confirmed that calcination tempe rature greatly influences structural,morphology,surface states,photoelectrochemical property and photocatalytic(PC)perfo rmance ofα-Bi2O_(3)/g-C_(3)N_(4) composite.Furthermore,theα-Bi2O_(3)/gC_(3)N_(4) composite was applied as photocatalyst to degrade amido black 10 B dye under visible light irradiation.It was found that the composite synthesized at 400℃exhibited the highest PC performance due to the intense visible light absorbance and high separation efficiency of electron and hole pairs.Besides,the possible PC mechanism was proposed that the photo-generated charge carrier migration inα-Bi2O_(3)/g-C_(3)N_(4) photocatalyst followed a Z-scheme structure.Finally,the stability test also manifest that theα-Bi2O_(3)/g-C_(3)N_(4) composite photocatalyst has good stability and reusability,which was a promising candidate for wastewater treatment.展开更多
Large pinhole-free,high-crystal-quality per-ovskite films are the key to realizing efficient,stable CsPbI_(3)perovskite modules.In this work,we use the crystal growth modulation strategy to prepare high-quality CsPbI_...Large pinhole-free,high-crystal-quality per-ovskite films are the key to realizing efficient,stable CsPbI_(3)perovskite modules.In this work,we use the crystal growth modulation strategy to prepare high-quality CsPbI_(3)films from small to large sizes using a new precursor solution with CsI/DMAPbI_(3)/PbI_(2)in a DMAAc/DMF mixed solvent(DMAAc:dimethylamine acetate).The champion small-size CsPbI_(3)de-vice presents a photoelectric conversion efficiency(PCE)above 21%and a certified PCE of 20.05%,and the best blade-coated CsPbI_(3)minimodule exhibits a PCE of 18.3%for an aperture area of 12.39 cm2 and a PCE of 19.9%for an active area of 11.40 cm^(2).In addition,the composition engineering of the precursor solution toward CsPbI_(3)crystallization is explored:the DMAAc/DMF mixed solvent can facilitate phase trans-formation and reduce the nucleation rate,and the mixture of PbI2 and DMAPbI3 will further improve the film micro-structure and uniformity.Consequently,the anti-humidity stability and phase stability of the CsPbI_(3)films are greatly improved,and the corresponding devices exhibit good op-erational stability.CsPbI_(3)modules with simple encapsulation also present excellent long-term storage stability over 150 days.This crystal growth regulation strategy provides a new method to produce large-scale CsPbI_(3)and even hybrid per-ovskite solar cells for future commercialization.展开更多
Fast and non-destructive analysis of material defect is a crucial demand for semiconductor devices.Herein,we are devoted to exploring a solar-cell defect analysis method based on machine learning of the modulated tran...Fast and non-destructive analysis of material defect is a crucial demand for semiconductor devices.Herein,we are devoted to exploring a solar-cell defect analysis method based on machine learning of the modulated transient photovoltage(m-TPV)measurement.The perturbation photovoltage generation and decay mechanism of the solar cell is firstly clarified for this study.High-throughput electrical transient simulations are further carried out to establish a database containing millions of m-TPV curves.This database is subsequently used to train an artificial neural network to correlate the m-TPV and defect properties of the perovskite solar cell.A Back Propagation neural network has been screened out and applied to provide a multiple parameter defect analysis of the cell.This analysis reveals that in a practical solar cell,compared to the defect density,the charge capturing cross-section plays a more critical role in influencing the charge recombination properties.We believe this defect analysis approach will play a more important and diverse role for solar cell studies.展开更多
基金the National Natural Science Foundation of China(Nos.5150825451978319)+2 种基金Fundamental Research Funds for the Central Universities(No.lzujbky-2017-it98)College Students’Innovative Practice Training Program of Chinese Academy of Sciences(No.Y710171040)Key Laboratory of Comprehensive and Highly Efficient Utilization of Salt Lake Resources,Qinghai Institute of Salt Lakes,Chinese Academy of Sciences。
文摘In this study,α-Bi2O_(3)/g-C_(3)N_(4) nanocomposite with direct Z-scheme was successfully prepared through calcination of BiOCOOH/g-C_(3)N_(4) precursor at different temperature.Meanwhile,the effect of calcination temperature on the physicochemical properties ofα-Bi2O_(3)/g-C_(3)N_(4) was studied.All results confirmed that calcination tempe rature greatly influences structural,morphology,surface states,photoelectrochemical property and photocatalytic(PC)perfo rmance ofα-Bi2O_(3)/g-C_(3)N_(4) composite.Furthermore,theα-Bi2O_(3)/gC_(3)N_(4) composite was applied as photocatalyst to degrade amido black 10 B dye under visible light irradiation.It was found that the composite synthesized at 400℃exhibited the highest PC performance due to the intense visible light absorbance and high separation efficiency of electron and hole pairs.Besides,the possible PC mechanism was proposed that the photo-generated charge carrier migration inα-Bi2O_(3)/g-C_(3)N_(4) photocatalyst followed a Z-scheme structure.Finally,the stability test also manifest that theα-Bi2O_(3)/g-C_(3)N_(4) composite photocatalyst has good stability and reusability,which was a promising candidate for wastewater treatment.
基金supported by the National Natural Science Foundation of China (52102332, 52361145847, 52072402, 52203368, 52172260, 52227803, 52222212)the Beijing Natural Science Foundation (2222082)+1 种基金the Ministry of Science and Technology of the People’s Republic of China (2021YFB3800103)the CAS-CSIRO Joint Project (112111KYSB20210017)。
文摘Large pinhole-free,high-crystal-quality per-ovskite films are the key to realizing efficient,stable CsPbI_(3)perovskite modules.In this work,we use the crystal growth modulation strategy to prepare high-quality CsPbI_(3)films from small to large sizes using a new precursor solution with CsI/DMAPbI_(3)/PbI_(2)in a DMAAc/DMF mixed solvent(DMAAc:dimethylamine acetate).The champion small-size CsPbI_(3)de-vice presents a photoelectric conversion efficiency(PCE)above 21%and a certified PCE of 20.05%,and the best blade-coated CsPbI_(3)minimodule exhibits a PCE of 18.3%for an aperture area of 12.39 cm2 and a PCE of 19.9%for an active area of 11.40 cm^(2).In addition,the composition engineering of the precursor solution toward CsPbI_(3)crystallization is explored:the DMAAc/DMF mixed solvent can facilitate phase trans-formation and reduce the nucleation rate,and the mixture of PbI2 and DMAPbI3 will further improve the film micro-structure and uniformity.Consequently,the anti-humidity stability and phase stability of the CsPbI_(3)films are greatly improved,and the corresponding devices exhibit good op-erational stability.CsPbI_(3)modules with simple encapsulation also present excellent long-term storage stability over 150 days.This crystal growth regulation strategy provides a new method to produce large-scale CsPbI_(3)and even hybrid per-ovskite solar cells for future commercialization.
基金supported by the National Natural Science Foundation of China(52222212,52227803,52242201,51872321,11874402,52072402).
文摘Fast and non-destructive analysis of material defect is a crucial demand for semiconductor devices.Herein,we are devoted to exploring a solar-cell defect analysis method based on machine learning of the modulated transient photovoltage(m-TPV)measurement.The perturbation photovoltage generation and decay mechanism of the solar cell is firstly clarified for this study.High-throughput electrical transient simulations are further carried out to establish a database containing millions of m-TPV curves.This database is subsequently used to train an artificial neural network to correlate the m-TPV and defect properties of the perovskite solar cell.A Back Propagation neural network has been screened out and applied to provide a multiple parameter defect analysis of the cell.This analysis reveals that in a practical solar cell,compared to the defect density,the charge capturing cross-section plays a more critical role in influencing the charge recombination properties.We believe this defect analysis approach will play a more important and diverse role for solar cell studies.
