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High-Yield and Uniform NbO<sub> <i>x</i> </sub>-Based Threshold Switching Devices for Neuron Applications
37
Citations
27
References
2022
Year
Electrical EngineeringElectronic DevicesEngineeringElectronic MaterialsThreshold Switching DevicesNeuron ApplicationsThreshold SwitchingApplied PhysicsTs DevicesArtificial NeuronsNeuroscienceNeuromorphic EngineeringNeuromorphic DevicesOptoelectronic DevicesSemiconductor MemoryMicroelectronicsNeurochip
Threshold switching (TS) devices based on NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>x</i></sub> materials show intriguing potential for constructing artificial neurons in a neuromorphic machine. However, the high electroforming voltage, the low TS yield, and the poor device uniformity hinder the practical application of NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>x</i></sub> -based TS devices. In this work, we systematically investigate the effect of film composition on device performance by adjusting the oxygen contents in the NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>x</i></sub> films. The electroforming voltage decreases with lowering the oxygen content, and the forming yield for activating TS behavior increases without an additional reset process. Moreover, we propose a stacked method by inserting a NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>y</i></sub> layer with high oxygen content between the low oxygen NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>x</i></sub> layer and the bottom electrode. The intercalated NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>y</i></sub> layer serves as a virtual bottom electrode after breakdown, enhancing the local electrical field and improving cycle-to-cycle stability and device-to-device uniformity. These results demonstrate that the device performances are greatly improved by optimizing the oxygen content and structure, guiding for practical applications of NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>x</i></sub> -based TS devices in neuromorphic computing.
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