Aug 2026· ENERGY & ENVIRONMENTAL MATERIALS· 0 citations· 46 references
Abstract
Integrated optoelectronic synapses that combine sensing, memory, and computation in a mechanically compliant platform are attractive for energy‐efficient wearable artificial vision and in‐sensor computing. However, simultaneously achieving intrinsic rectification, analog weight programmability, optical responsivity, and facile, scalable fabrication remains challenging. Here, we report a self‐rectifying, flexible, semi‐transparent optoelectronic memristor fabricated by layer‐by‐layer solution processing and spray coating, thereby avoiding the use of vacuum‐deposited noble‐metal top electrodes. The indium tin oxide/ZnO/TiO
2
nanosheet/MXene heterostructure uses defect‐rich ZnO as a photoactive oxygen‐vacancy reservoir, crystalline TiO
2
nanosheets (TS) as a charge‐trapping and barrier‐modulating interlayer, and a termination‐rich 2D MXene sheets (MS) electrode to promote asymmetric carrier injection. The device exhibits unidirectional analog switching with a rectification ratio of ~10
3
, stable potentiation and depression with nonlinearity values of 2.02 and 2.38, a conductance on/off ratio of 121.4, and 94.3% inference accuracy using experimentally extracted weight states. Under illumination, it shows wavelength‐selective photosynaptic behavior, stronger excitation at 365 nm, along with intensity‐ and duration‐dependent transitions from short‐term plasticity (STP) to long‐term plasticity (LTP), paired‐pulse facilitation (PPF), and learning‐forgetting‐relearning characteristics. These electrical and optoelectronic functions are preserved under bending, supporting robust mechanical reliability. Mechanistically, the response is governed by interface‐controlled barrier modulation mediated by oxygen‐vacancy redistribution, charge trapping/de‐trapping at the ZnO/TS interface, and asymmetric carrier injection at the MS/TS contact, as evidenced by postsynaptic current (PSC). This work establishes a scalable, semi‐transparent platform for energy‐efficient neuromorphic photosensing and in‐sensor wearable computing for artificial vision systems.
Optoelectronic memristors with sensing, storage, and computing multifunctional applications are promising for efficient in‐memory computing and intelligent visual perception. However, it is still a huge challenge to integrate these functions in a single optoelectronic platform due to the inherent contradiction betw...
Yang Chen, Zi-Yue Li, Shu-Xian Zang et al.· Advanced Optical Materials· 0 citations
All‐optical neuromorphic computing promises ultrafast and energy‐efficient information processing compared to classical von Neumann architecture. To realize this bio‐inspired platform, its memory elements should combine volatility and nonvolatility within a single memory device. Here, we report a hybrid optical mem...
G. Verkhogliadov, I. Matchenya, Stepan A. Baryshev et al.· Advanced Optical Materials· 0 citations
Flexible in‐memory computing devices and neuromorphic computing systems urgently demand resistive random‐access memory devices that are compatible with large‐area, low‐cost printing technologies and feature tunable resistive switching behavior. Herein, an n‐type conjugated polyelectrolyte based on naphthalene diimi...
Wei Liang, Jiang-Shan Chen, Jia-Wei Shao et al.· Journal of Polymer Science· 0 citations
Three‐dimensional reconfigurable light‐emitting devices are promising for next‐generation displays, wearable electronics, and interactive optoelectronic systems. However, conventional alternating‐current electroluminescent devices usually rely on multilayer architectures, making it difficult to simultaneously achieve...
Chenshun Hu, Shou-Zheng Jiao, Rongxue Xi et al.· Advanced Functional Material...· 0 citations
Conventional two‐dimensional photodetectors suffer from intrinsic inversion symmetry that hinders carrier separation and responsivity. Here we demonstrate a self‐driven flexoelectric photodetector (FPD) requiring no external force. By transferring MoS2 onto a microwell substrate, conformal sagging induces a stable stra...
Yu-Qi Ren, Qin-Wen Xu, Chen-Xi Hu et al.· Advanced Optical Materials· 0 citations
Energy‐efficient computing is a critical challenge for artificial intelligence and edge applications. Although self‐powered memory systems that integrate sensing, energy harvesting, and storage are promising, they often suffer from high leakage currents, poor reproducibility, and material incompatibility. Here, we...
Dong-eun Kim, A. Thean, Minjae Kim et al.· Advanced Functional Material...· 0 citations
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