Negative Differential Resistance Characteristics in Forming‐Free NbO x with Crystalline NbO 2 Phase

Advanced Intelligent Systems

Hui

et al. 2022

Nonvolatile resistive switching memristance devices with a high on/off ratio are desirable for nanoelectronics such as resistive random‐access memory (RRAM) and in‐memory computing. Here, bipolar resistive switching in point‐contacted W/LaAlO3/SrTiO3(111) heterojunctions is reported, in which a Schottky barrier is formed at the metal/oxides interface, and 2d electron gas is formed at the interface of perovskite oxides. A negative differential resistance is observed in the RESET process. The result shows that the observed resistive switching is strongly associated with oxygen‐vacancies (OVs) in oxides with dominating contributions from electron hopping between OV trap sites, and can be controlled by oxygen annealing and electron injection. Remarkably, a method is developed by continuous RESET processes to increase the high resistance state by 1–3 orders of magnitude, with an on/off ratio enhanced from ≈10 to ≈104. The work provides a promising pathway to understand conduction mechanism of oxides memristors and promote its application in RRAM and in‐memory computing.

Section: Resultsmentioning

confidence: 82%

Controlling Memristance and Negative Differential Resistance in Point‐Contacted Metal–Oxides–Metal Heterojunctions: Role of Oxygen Vacancy Electromigration and Electron Hopping

Gan

Advanced Intelligent Systems

Hui

et al. 2022

“…[ 46 ] This issue can potentially be addressed using the Mott system with higher phase‐transition temperature, such as NbO 2 (≈1080 K). [ 47 ]…”

Section: Resultsmentioning

confidence: 99%

“…[46] This issue can potentially be addressed using the Mott system with higher phase-transition temperature, such as NbO 2 (%1080 K). [47] Lee et al [44] proposed a Joule heating model to point out the relationship between V th , V hold and temperature (T ). In this model, the Mott transition occurs when the voltage-induced Joule heating is sufficient to raise the crystal temperature to Mott transition temperature.…”

Section: Artificial Temperature Perception Neuron Based On Vo 2 Volat...mentioning

confidence: 99%

Artificial Multisensory Neurons with Fused Haptic and Temperature Perception for Multimodal In‐Sensor Computing

Duan

Advanced Intelligent Systems

Liu

et al. 2022

The sensory system is a part of the nervous system that processes sensory information, which includes receptors, neural pathways, and the sensory center of the cerebral cortex. In the sensory neural network of humankind, the sensory receptors convert environmental information into potential changes and encode such potential changes into spike trains with neural spike coding in the cell body. Subsequently, interneurons convey the spike trains from the receptors to the cerebral cortex of the brain, where the information is decoded into sensory perceptions for further processing. [1][2][3][4][5][6] Such a structure forms the basis of sensing, preprocessing, and encoding capabilities of the human sensory system. This outperforms digital computers in dealing with a large number of complex tasks, such as perception and real-time sensory data processing. Therefore, it is of great significance to draw inspiration from the human sensory system and develop artificial sensory hardware that can efficiently realize the perception and encoding capabilities, which will provide a promising approach toward e-skin, neurorobotics, and human-machine interaction technologies.

“…The results demonstrate that the TS characteristics remain stable at least below 0 °C but gradually disappear above 35 °C (Figure S12, Supporting Information), which could be related to the low phase transition temperature of VO 2 (˜340 K) [47] . This issue can potentially be addressed by using Mott system with higher phase transition temperature, such as NbO 2 (˜1080 K) [48] . Lee et al [44] proposed a Joule heating model to point out that the relationship between V th , V hold and temperature (T ).…”

Section: Artificial Temperature Perception Neuron Based On Vo 2 Volat...mentioning

confidence: 99%

Artificial Multisensory Neuron with Fused Haptic and Temperature Perception for Multimodal In-Sensor Computing

Duan

Liu

et al. 2022

Preprint

Human receives and transmits various information from the outside world through different sensory systems. The sensory neurons integrate various sensory inputs into a synthetical perception to monitor complex environments, and this fundamentally determines the way how we perceive the world. Developing multifunctional artificial sensory elements that can integrate multisensory perception plays a vital role in future intelligent perception systems, whereas prior spiking neurons reported can only handle single-mode physical signals. Here, we present a bio-inspired haptic-temperature fusion spiking neuron based upon a serial connection of piezoresistive sensor and VO volatile memristor. The artificial sensory neuron is capable of detecting and encoding pressure and temperature inputs based on the voltage dividing effect and the intrinsic thermal sensitivity of metal-insulator transition in VO. Recognition of Braille characters is achieved through multiple piezoresistive sensors, taking advantage of the spatial integration capabilities of such spiking neurons. Notably, the traditionally separate haptic and temperature signals can be fused physically in the sensory neuron when synchronizing the two sensory cues, which is able to recognize multimodal haptic/temperature patterns. The artificial multisensory neuron thus provides a promising approach towards e-skin, neuro-robotics and human-machine interaction technologies.