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Artificial Synapse based on MoS2 Memtransistor for In-Memory Computing

机译:基于MOS2 MEMTRANSISTOR用于内存计算的人工突触

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We demonstrate a large-scale three-terminal MoS2 memtransistor crossbar array featuring self-selective function via independent gate control which effectively suppress the sneak current to be less than 0.1 nA, thus eliminating the cross talk issues of a typical 1-R array. The oriented grain boundary of ‘poly-Mo'S, along the channel enables a low switching voltage of 0.42 V and a switching energy per transition of 20 fl/bit, Such architecture is capable of performing vector matrix multiplication (VMM) operation, a core computing task for pattern classification, wherein the linear synaptic plasticity and low wire resistance lead to a high MNIST recognition accuracy of 96.87 %.
机译:我们展示了一个大规模的三终端MOS 2 Memtransistor CrossBar阵列通过独立栅极控制具有自选择函数,有效地抑制潜水电流小于0.1 NA,从而消除了典型的1-R阵列的交叉谈话问题。 “Poly-Mo”的定向晶界,沿着通道使得低开关电压为0.42V,并且每个转换为20F1 /比特的开关能量,这种架构能够执行载体矩阵乘法(VMM)操作,核心计算 图案分类的任务,其中线性突触可塑性和低导线电阻导致高MNIST识别精度为96.87%。

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