Aug 2026· Journal of Low Power Electronics and Applications· Vol 16, pp. 32· 0 citations· 51 references
Abstract
Memristive devices have emerged as promising candidates for next-generation non-volatile memory and neuromorphic computing systems owing to their simple device architecture, low power consumption, and capability for analog conductance modulation. In this work, Fe2O3-incorporated TiO2 thin films were employed as the active switching layer to investigate their resistive switching and artificial synaptic characteristics. The fabricated Ag/TiO2 + Fe2O3/FTO device exhibits stable switching performance with a low operating voltage of approximately ±0.6 V, a large ON/OFF ratio of ~103, retention of nearly 104 s, and endurance over 5000 pulse cycles, representing a significant improvement compared with pristine TiO2 devices. Electrical transport analysis demonstrates Schottky emission-dominated conduction in the high-resistance state and Ohmic conduction in the low-resistance state. Furthermore, analog switching behavior was achieved by operating the device under a higher compliance current, demonstrating gradual conductance modulation and synaptic weight update characteristics, indicating the potential of the device for neuromorphic applications. These results demonstrate that Fe2O3 incorporation provides an effective approach for simultaneously enhancing memory performance and synaptic functionality in TiO2-based memristors, highlighting their potential for future memory and neuromorphic computing applications.
Solution-processed memristors offer a scalable, cost-effective pathway for next-generation computing. The Rb4Ag2BiBr9 (RABB) based resistive random-access memory exhibits stable non-volatile memristive behavior with low operating voltage (∼1.7 V), robust endurance over ∼900 cycles, and extended data retention up to ∼ 5...
Suvankar Poddar, Souvik Bhattacharjee, Pulok Das et al.· Small· 1 citation
This article presents a multifunctional Ag/MoS2:PVA/SnO2/Pt memristive device that demonstrates resistive memory, synaptic learning, and optical information processing. The device exhibited stable bipolar resistive switching with low operating voltages with SET and RESET at ∼ 0.57/-0.86 V, respectively, an ON/OFF rati...
The development of self-rectifying memristors with reliable synaptic functionalities is critical for high-density neuromorphic computing systems. In this work, a memristor based on a WO3/SiO2 heterojunction was fabricated to achieve both intrinsic rectification behavior and biosynaptic characteristics. It is found th...
Bioinspired neuromorphic architectures featuring sensory-memory-computing integration offer a highly effective approach to overcoming the traditional von Neumann computing bottleneck. However, existing optoelectronic memristors universally face challenges such as high static power consumption and difficulties in modu...
Yuan-Hui Yang, Yuan-Feng Sun, Kai Hu et al.· Journal of Physical Chemistr...· 0 citations
Memristors are promising candidates for neuromorphic computing, but conventional oxide-based memristors suffer abrupt switching and limited synaptic plasticity. This paper reports a W/HfO2/Y2O3/Pt memristor that overcomes limitations through oxygen vacancy gradient and heterojunction interface engineering. The HfO2 l...
Jing Xu, Yuan-Yuan Zhu, Shu-Ning Yang et al.· Journal of Physical Chemistr...· 0 citations
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