RESUMEN
Lanthanide metal-organic frameworks are of great interest in the development of photoluminescence (PL) materials owing to their structural tunability and intrinsic features of lanthanide elements. However, there exists some limitations arising from poor matching with metal ions, thereby exhibiting a weak ligand-to-metal energy transfer (LMET) process. Here we demonstrate a pressure-treated strategy for achieving high PL performance in green-emitting Tb(BTC)(H2 O)6 . The PL quantum yield of pressure-treated sample increased from 50.6 % to 90.4 %. We found that the enhanced hydrogen bonds locked the conjugated configuration formed by two planes of carboxyl group and benzene ring, enabling the promoted intersystem crossing to effectively drive LMET. Moreover, the optimized singlet and triplet states also validated the facilitated LMET process. This work opens the opportunity of structure optimization to improve PL performance in MOFs by pressure-treated engineering.
RESUMEN
Due to the low solubility of CsBr in organic solvents, the CsPbBr3 film prepared by the multi-step method has holes and insufficient thickness, and the light absorption capacity and current density of the perovskite film hinder the further improvement in the power conversion efficiency (PCE) of CsPbBr3 solar cells. In this study, we introduced InBr3 into the PbBr2 precursor solution and adjusted the concentration of PbBr2, successfully prepared PbBr2 with a porous structure on the compact TiO2 (c-TiO2) substrate to ensure that it fully reacted with CsBr, and obtained the planar carbon-based CsPbBr3 solar cells with high-quality perovskite film. The results reveal that the porous PbBr2 structure and the increasing PbBr2 concentration are beneficial to increase the thickness of the CsPbBr3 films, optimize the surface morphology, and significantly enhance the light absorption capacity. Finally, the PCE of the CsPbBr3 solar cells obtained after conditions optimization was 5.76%.
RESUMEN
In the process of preparing CsPbBr3 films by two-step or multi-step methods, due to the low solubility of CsBr in organic solvents, the prepared perovskite films often have a large number of holes, which is definitely not conducive to the performance of CsPbBr3 perovskite solar cells (PSCs). In response to this problem, this article proposed a method of introducing InBr3 into the PbBr2 precursor to prepare a porous PbBr2 film to increase the reaction efficiency between CsBr and PbBr2 and achieve the purpose of In (â ¢) incorporation, which not only optimized the morphology of the produced CsPbBr3 film but also enhanced the charge extraction and transport capabilities, which was ascribed to the reduction of the trap state density and impurity phases in the perovskite films, improving the performance of CsPbBr3 PSCs. At the optimal InBr3 concentration of 0.21 M, the InBr3:CsPbBr3 perovskite solar cell exhibited a power conversion efficiency of 6.48%, which was significantly higher than that of the pristine device.
RESUMEN
Gene expression profiles are used to recognize patient samples for cancer diagnosis and therapy. Gene selection is crucial to high recognition performance. In usual gene selection methods the genes are considered as independent individuals and the correlation among genes is not used efficiently. In this description, a co-expression modules based gene selection method for cancer recognition is proposed. First, in the cancer dataset a weighted correlation network is constructed according to the correlation between each pair of genes, different modules from this network are identified and the significant modules are selected for following exploration. Second, based on these informative modules information gain is applied to selecting the feature genes for cancer recognition. Then using LOOCV, the experiments with different classification algorithms are conducted and the results show that the proposed method makes better classification accuracy than traditional gene selection methods. At last, via gene ontology enrichment analysis the biological significance of the co-expressed genes in specific modules was verified.