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In recent years, the design of social software UI has become a design research focus in the field of design. Color affects many factors in UI design. However, there is currently no suitable method for effectively selecting colors in social software. In this paper, the color of social software UI design based on BP neural network is selected. The traditional BP neural network (BP), genetic algorithm improved BP neural network (GA-BP) and Mind Evolution Algorithm improved BP neural network (MEA-BP) are analyzed and summarized. Finally, the strong predictor and thought evolution method are used to improve MEA-BP-Adaboost. The experiment proves that the training results of the MEA-BP-Adaboost neural network are very good, and the color difference is reduced by about 30, 26.5 and 35.3%, respectively, compared to the three different BP neural networks. The color selection method based on MEA-BP-Adaboost can more effectively improve the accuracy of color selection in the UI design of social software, while reducing the number of experiments. In the color selection algorithm, the color accuracy rate and recall rate of the seven different colors are basically between 90 and 95%, which can basically achieve the desired effect. This also proves that the usability of BP neural network in social software UI design is very high. The methods involved in this article can be applied to other color space conversion and other image acquisition, display, processing and output devices. It is believed that these research works have certain theoretical guiding significance and practical application value to promote the development of color image color restoration technology.

Controlled syntheses of PtNi metal nanocrystals with unique structures for catalyzing oxygen reduction reactions (ORRs) have attracted great interest. Here, we report the one-step synthesis of single-crystal PtNi octahedra with in situ-developed highly concave features and self-confined composition that are optimal for ORR. Detailed studies revealed that the Pt-rich seeding, subsequent Pt/Ni co-reduction, and Pt–Ni interfusion resulted in uniform single-crystal PtNi octahedra, and that the combination of Ni facet segregation and oxygen etching of a Ni-rich surface led to the concavity and confined Ni content. The concave PtNi nanocrystals exhibited much higher ORR performance than the commercially available Pt/C catalyst in terms of both specific activity (29.1 times higher) and mass activity (12.9 times higher) at 0.9 V (vs. reversible hydrogen electrode (RHE)). The performance was also higher than that of PtNi octahedra without concavity, confirming that the higher activity was closely related to its morphology. Moreover, the concave octahedra also exhibited remarkable stability in ORR (93% mass activity remained after 10,000 cycles between 0.6 and 1.1 V vs. RHE) owing to the passivation of the unstable sites.

Silicon nanowires (SiNWs) have been widely studied as light harvesting antennas in photocatalysts due to their ability to absorb broad-spectrum solar radiation, but they are typically limited by poor photoelectrochemical stability. Here, we report the synthesis of reduced graphene oxide-SiNW (rGO-SiNW) heterostructures to achieve greatly improved photocatalytic activity and stability. The SiNWs were synthesized through a metal-assisted electroless etching process and functionalized with reduced graphene oxide (rGO) flakes through a chemical absorption process. Here, the rGO not only functions as a physical protection layer to isolate the SiNWs from the harsh electrochemical environment but also serves as a charge mediator to facilitate the charge separation and transport processes. Furthermore, the rGO may also function as a redox catalyst to ensure efficient utilization of photo-carriers for the desired chemical reactions. Photocatalytic dye degradation studies show that the photoactivity of the heterostructures can be significantly enhanced with an initial activation process and maintained without apparent decay over repeated reaction cycles. Electrochemical and photoelectrochemical studies indicate that the enhanced photoactivity and photostability can be attributed to the more efficient separation of photoexcited charge carriers in SiNWs and the reduced self-oxidation of the surface of the SiNWs during the photocatalytic dye degradation process. The ability to significantly improve the photocatalytic activity and stability in rGO-SiNW heterostructures can not only lead to more opportunities for the application of silicon-based photocatalysts/photoelectrodes for solar energy harvesting but also provide new insights into the stabilization of other unstable photocatalytic systems.