Sodium-ion batteries (SIBs) are essential for large-scale energy storage attributed to the high abundance of sodium. Polyanion NaV(PO) (NVP) is a dominant cathode candidate for SIBs because of its high-voltage and sodium superionic conductor (NASICON) framework. However, the electrochemical performance of NVP is hindered by the inherently poor electronic conductivity, especially for extreme fast charging and long-duration cycling. Herein, we develop a facile one-step in-situ polycondensation method to synthesize the three-dimensional (3D) NaV(PO)/holey-carbon frameworks (NVP@C) by using melamine as carbon source. In this architecture, NVP crystals intergrown with the 3D holey-carbon frameworks provide rapid transport pathways for ion/electron transmission to increase the ultrahigh rate ability and cycle capability. Consequently, the NVP@C cathode possesses a high reversible capacity of 113.9 mAh g at 100 mA g and delivers an outstanding high-rate capability of 75.3 mAh g at 6000 mA g. Moreover, it shows that the NVP@C cathode is able to display a volumetric energy density of 54 Wh L at 6000 mA g (31 Wh L for NVP bulk), as well as excellent cycling performance of 65.4 mAh g after 1000 cycles at 2000 mA g. Furthermore, the NVP@C exhibits remarkable reversible capabilities of 81.9 mAh g at a current density of 100 mA g and 60.2 mAh g at 1000 mA g even at a low temperature of -15 °C. The structure of porous carbon frameworks combined with single crystal materials by in-situ polycondensation offers general guidelines for the design of sodium, lithium and potassium energy storage materials.
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http://dx.doi.org/10.3390/nano13030446 | DOI Listing |
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Encryption and decryption of data with very low latency and high energy efficiency is desirable in almost every application that deals with sensitive data. The advanced encryption standard (AES) is a widely adopted algorithm in symmetric key cryptography with numerous efficient implementations. Nonetheless, in scenarios involving extensive data processing, the primary limitations on performance and efficiency arise from data movement between memory and the processor, rather than data processing itself.
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Center for Research on Advanced Fiber Technologies (CRAFT), Materials Research Institute and Huck Institute of Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA.
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Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz 51666-16471, Iran.
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View Article and Find Full Text PDFACS Nano
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School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.
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