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Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features

机译:用于人工突触特征的超敏感范德瓦尔斯材料中的氧化升压电荷诱捕

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Exploitation of the oxidation behaviour in an environmentally sensitive semiconductor is significant to modulate its electronic properties and develop unique applications. Here, we demonstrate a native oxidation-inspired InSe field-effect transistor as an artificial synapse in device level that benefits from the boosted charge trapping under ambient conditions. A thin InO x layer is confirmed under the InSe channel, which can serve as an effective charge trapping layer for information storage. The dynamic characteristic measurement is further performed to reveal the corresponding uniform charge trapping and releasing process, which coincides with its surface-effect-governed carrier fluctuations. As a result, the oxide-decorated InSe device exhibits nonvolatile memory characteristics with flexible programming/erasing operations. Furthermore, an InSe-based artificial synapse is implemented to emulate the essential synaptic functions. The pattern recognition capability of the designed artificial neural network is believed to provide an excellent paradigm for ultra-sensitive van der Waals materials to develop electric-modulated neuromorphic computation architectures.
机译:在环境敏感的半导体中对氧化行为的利用对于调节其电子特性并开发独特的应用是显着的。这里,我们证明了天然氧化启动的Inse场效应晶体管,作为装置水平的人工突触,其在环境条件下从提升电荷捕获中受益。在内部通道下确认薄的Ino X层,其可以用作用于信息存储的有效电荷俘获层。进一步执行动态特性测量以揭示相应的均匀电荷捕获和释放过程,其与其表面效应治理的载波波动一致。结果,氧化物装饰的砧板具有具有灵活的编程/擦除操作的非易失性存储器特性。此外,实施了基于内部的人工突触以模拟基本突触函数。据信设计人工神经网络的模式识别能力为超敏感范德瓦尔斯材料提供了优异的范式,以开发电动调制的神经形态计算架构。

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