Mixed/composite oxides of transition metals with hollow structures, especially multishelled hollow architecture, have promising potential for different applications, but their syntheses still remain ...a big challenge. Herein, a facile coordination polymer precursor method was developed to construct various multishelled Zn–Mn–O hollow microspheres, including ZnMnO3, ZnMn2O4, and ZnMn2O4/Mn2O3. The composition of the hollow structures can be adjusted by controlling the composition of the coordination polymer precursors, which are easily obtained with Zn2+, Mn2+, and salicylic acid under solvothermal conditions. With a simple programmable heating process, the shell of the hollow structures can be adjusted and double-/triple-shelled ZnMnO3, ZnMn2O4, and ZnMn2O4/Mn2O3 hollow microspheres have been controllably obtained. When the triple-shelled ZnMn2O4 hollow microspheres are used as anode materials for lithium-ion batteries, excellent activity and enhanced stability can be achieved. The triple-shelled hollow ZnMn2O4 exhibits a reversible capacity of 537 mA·h·g–1 at 400 mA·g–1 and a nearly 100% capacity retention after 150 cycles. This strategy is facile and scalable for the production of high-quality complex hollow nanostructures, with the possibility of extension to the preparation of other mixed metal oxides with complex structures.
The development of new electrode materials with high specific capacity for excellent supercapacitive storage and energy conversion is highly desirable. The combination of metal and metal oxide with ...carbon is an effective strategy to achieve active bimetallic nanocatalysts. Herein, we developed a facile method to synthesize Co
x
Mn
1−
x
O@GC and Co/MnO@GC nanocomposites by an
in situ
conversion of Co-Mn PBAs. The as-prepared carbon hybrids, especially the resulting Co/MnO@GC carbonized under 700 °C (Co/MnO@GC-700), preserve the nanocubic morphology of Co-Mn PBAs and show excellent supercapacitance and OER performance. Specifically, an outstanding specific capacitance of 2275 F g
−1
can be obtained with Co/MnO@GC-700 as the electrode material at a current density of 4 A g
−1
. When used as OER catalysts, Co/MnO@GC-700 shows a low overpotential of only 358 mV at 10 mA cm
−2
in 1 M KOH. Moreover, a fabricated asymmetric supercapacitor device (ASC device), in combination with active carbon, shows a high cell voltage of 1.7 V and a considerably high specific capacitance of 246 F g
−1
at 2 A g
−1
. Our nanoarchitecture design derived from PBAs provides a new opportunity for future applications in high-performance energy storage and transformation systems.
Co/MnO@GC hybrids derived from the MnCo PBA precursor were demonstrated to have highly supercapacitive and OER electrocatalytic performances.
Stereo super-resolution is a technique that utilizes corresponding information from multiple viewpoints to enhance the texture of low-resolution images. In recent years, numerous impressive works ...have advocated attention mechanisms based on epipolar constraints to boost the performance of stereo super-resolution. However, techniques that exclusively depend on epipolar constraint attention are insufficient to recover realistic and natural textures for heavily corrupted low-resolution images. We noticed that global self-similarity features within the image and across the views can proficiently fix the texture details of low-resolution images that are severely damaged. Therefore, in the current paper, we propose a stereo cross global learnable attention module (SCGLAM), aiming to improve the performance of stereo super-resolution. The experimental outcomes show that our approach outperforms others when dealing with heavily damaged low-resolution images. The relevant code is made available on this link as open source.
Real-world stereo image super-resolution has a significant influence on enhancing the performance of computer vision systems. Although existing methods for single-image super-resolution can be ...applied to improve stereo images, these methods often introduce notable modifications to the inherent disparity, resulting in a loss in the consistency of disparity between the original and the enhanced stereo images. To overcome this limitation, this paper proposes a novel approach that integrates a implicit stereo information discriminator and a hybrid degradation model. This combination ensures effective enhancement while preserving disparity consistency. The proposed method bridges the gap between the complex degradations in real-world stereo domain and the simpler degradations in real-world single-image super-resolution domain. Our results demonstrate impressive performance on synthetic and real datasets, enhancing visual perception while maintaining disparity consistency. The complete code is available at the following \href{https://github.com/fzuzyb/SCGLANet}{link}.
