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Furthermore, the full ASSLMBs (Li|LiFePO4) enable decent capacity retention of 90% over 100 cycles at 0.5C and high Coulombic efficiency of nearly 100%. Therefore, constructing solid-state electrolytes with dual-interfacial compatibility may be an effective avenue to achieve high-performance ASSLMBs.This paper proposes a novel memristive synaptic Hopfield neural network (MHNN) with time delay by using a memristor synapse to simulate the electromagnetic induced current caused by the membrane potential difference between two adjacent neur
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