Publications by authors named "Zhenqiang Guo"

Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph-structured data. However, most amorphous/polycrystalline oxides-based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. And graph neural networks based on robust and epitaxial film memristors can especially improve energy efficiency due to their high endurance and ultra-low power consumption.

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Article Synopsis
  • The instability of the electrode-electrolyte interface and limited electrochemical window of typical electrolytes restrict the use of high-voltage sodium metal batteries, which is linked to how electrolytes organize around cations.
  • The researchers developed a new electrolyte combining ethyl (2,2,2-trifluoroethyl) carbonate and fluoroethylene carbonate, improving cation-anion coordination and enhancing sodium plating/stripping efficiency with a 98.0% Coulombic efficiency.
  • This new electrolyte shows impressive performance in high-voltage sodium cells, achieving 20 C rate capability and maintaining 87.1% capacity after 250 cycles, suggesting a promising approach for stabilizing sodium metal batteries and potentially other battery types.
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Neuromorphic computing based on memristors capable of in-memory computing is promising to break the energy and efficiency bottleneck of well-known von Neumann architectures. However, unstable and nonlinear conductance updates compromise the recognition accuracy and block the integration of neural network hardware. To this end, we present a highly stable memristor with self-assembled vertically aligned nanocomposite (VAN) SrTiO:MgO films that achieve excellent resistive switching with low set/reset voltage variability (4.

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Computing in memory (CIM) based on memristors is expected to completely solve the dilemma caused by von Neumann architecture. However, the performance of memristors based on traditional conductive filament mechanism is unstable. In this study, we report a nonvolatile high-performance memristor based on ferroelectric tunnel junction (FTJ) Pd/BiLaFeO (6.

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Adenofibroma is an extremely rare benign biphasic tumour composed of glandular and fibrous tissues. It occurs more often in the endometrium but it can also occur in the cervix and extrauterine sites. This case report describes a 39-year-old asymptomatic woman with cervical adenofibroma.

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A polyoxovanadium borate (H2 dap)6H[V12B16O54(OH)4] · 12H2O (dap=1,2-diaminopropane) with novel structure was hydrothermally synthesized and characterized by the single crystal X-ray diffraction. It crystallizes in triclinic system with space group Piand unit cell parameters a=19.027(4), b=16.

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