This review summarizes the recent progress and remaining challenges of polyanion-type cathodes, providing guidelines towards high-performance cathodes for sodium ion batteries.

PEALD deposition was used to reduce the effective deposition temperature of SnO2 electron selective layers without compromising the performance of perovskite solar cells.

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Recording atomic-resolution transmission electron microscopy (TEM) images is becoming increasingly routine. A new bottleneck is then analyzing this information, which often involves time-consuming manual structural identification. A deep learning-based algorithm for recognition of the local structure in TEM images was developed, which is stable to microscope parameters and noise. The neural network is trained entirely from simulation but is capable of making reliable predictions on experimental images. The method is applied to single sheets of defected graphene, and to metallic nanoparticles on an oxide support.

Molybdenum disulfide (MoS 2 ) has shown large promise in harvesting osmotic energy. However, the current investigations generally focus on proof-of-concept nanoscale singlepore devices with a semiconductor phase structure. Exploration of the application viability of MoS 2 in a more robust macroscopicscale two-dimensional (2D) nanofluidic membrane and acquisition of fundamentals of how the phase structure influences the power generation process are highly demanded. Here, we demonstrate that robust and stable composite membranes made up of 2D metallic MoS 2 can act as high-performance osmotic power generators. Both experiment and simulation reveal that the higher electron density of metallic MoS 2 increases the affinity of cations to the surface, which renders the system excellent ion selectivity and high ionic flux and greatly promotes transmembrane ion diffusion. When natural river water and seawater are mixed, the power density can achieve about 6.7 W m −2 . This work shows the great potential of metallic MoS 2 in nanofluidic energy devices.