In Situ Oxidized MXene-Based Flexible Ultraviolet Optoelectronic Synapse for Neuromorphic Computing and Multimodal Perception
Shulin Sha, Tong Xu, Kai Tang, Wenjie Li, Yun Wei, Peng Wan, Zeng Liu, Caixia Kan, Da Ning Shi, Mingming Jiang
Abstract
With the development of artificial intelligence and machine vision technologies, breaking the von Neumann bottleneck has become a key issue in the revolution of computing systems. Herein, a flexible and integrable CuSCN/MXene–TiO X /TiO 2 synaptic device is fabricated on account of the high- k dielectric layer derived from the oxidation of MXene, which is capable of simulating the multimodal behavior of biological synapses. The device demonstrates a dynamic and controllable transition from short-term to long-term memory, which allows the achievement of excellent relearning capabilities under light pulse stimuli. Theoretical analysis illustrates that the enhanced synaptic plasticity is attributed to carrier localization caused by oxygen vacancies in the MXene–TiO X dielectric layer. The CuSCN/MXene–TiO X /TiO 2 device achieves high recognition accuracies of 94.60% and 79.81% in handwritten digit and clothing recognition tasks, outperforming previously reported optoelectronic synaptic devices of similar types. Importantly, the CuSCN/MXene–TiO X /TiO 2 device enables artificial visual perception, visual memory, and real-time respiratory monitoring. Moreover, by integrating with internet of things (IoT) technology, it demonstrates its potential application value in remote respiratory detection across multiple platforms. This work highlights the broad application prospects of in situ oxidized MXene in low-power neuromorphic computing and multimodal perception, and provides a new technological pathway for advancing next-generation human–computer interaction and IoT-based intelligent health monitoring.