{"title":"Humidity-Modulated Flexible Chitosan-Based Memristor With Synaptic Behavior","authors":"Yiwen Chao;Yan Zhang;Ruipeng Wang;Yang Dai;Wu Zhao","doi":"10.1109/LED.2026.3725255","DOIUrl":null,"url":null,"abstract":"A flexible Cu/Ti/chitosan:sodium chloride (CS:NaCl)/indium tin oxide (ITO)/polyimide (PI) memristor was evaluated at controlled relative humidity (RH) levels of 30% and 60% to investigate what RH-dependent changes occur in nonvolatile switching and short-term synaptic responses. Across five independently fabricated devices, the mean SET voltage (V<inline-formula> <tex-math>${}_{\\text {SET}}\\text {)}$ </tex-math></inline-formula> increased from <inline-formula> <tex-math>$2.128~\\pm ~0.046$ </tex-math></inline-formula> to <inline-formula> <tex-math>$3.152~\\pm ~0.046$ </tex-math></inline-formula> V, whereas the RESET voltage (V<inline-formula> <tex-math>${}_{\\text {RESET}}\\text {)}$ </tex-math></inline-formula> showed greater cycle-to-cycle and device-to-device variability. Higher RH enhanced the excitatory postsynaptic current, paired-pulse facilitation (PPF), and low-voltage conductance modulation. A 30%<inline-formula> <tex-math>$\\to 60$ </tex-math></inline-formula>%<inline-formula> <tex-math>$\\to 30$ </tex-math></inline-formula>% RH sequence showed a recovery trend in the SET voltage, and bipolar switching remained observable in all five devices after 200 bending cycles at R = 6 mm. Based on the measured conductance modulation, MNIST recognition exceeded 92% at both RH levels. Fusing I–V and PPF classifier outputs enabled proof-of-concept RH-state classification. These results reveal differentiated RH modulation of nonvolatile SET and short-term synaptic responses in a flexible chitosan-based memristor.","PeriodicalId":13198,"journal":{"name":"IEEE Electron Device Letters","volume":"47 10","pages":"2039-2042"},"PeriodicalIF":4.6000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Electron Device Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11660466/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
A flexible Cu/Ti/chitosan:sodium chloride (CS:NaCl)/indium tin oxide (ITO)/polyimide (PI) memristor was evaluated at controlled relative humidity (RH) levels of 30% and 60% to investigate what RH-dependent changes occur in nonvolatile switching and short-term synaptic responses. Across five independently fabricated devices, the mean SET voltage (V${}_{\text {SET}}\text {)}$ increased from $2.128~\pm ~0.046$ to $3.152~\pm ~0.046$ V, whereas the RESET voltage (V${}_{\text {RESET}}\text {)}$ showed greater cycle-to-cycle and device-to-device variability. Higher RH enhanced the excitatory postsynaptic current, paired-pulse facilitation (PPF), and low-voltage conductance modulation. A 30%$\to 60$ %$\to 30$ % RH sequence showed a recovery trend in the SET voltage, and bipolar switching remained observable in all five devices after 200 bending cycles at R = 6 mm. Based on the measured conductance modulation, MNIST recognition exceeded 92% at both RH levels. Fusing I–V and PPF classifier outputs enabled proof-of-concept RH-state classification. These results reveal differentiated RH modulation of nonvolatile SET and short-term synaptic responses in a flexible chitosan-based memristor.
期刊介绍:
IEEE Electron Device Letters publishes original and significant contributions relating to the theory, modeling, design, performance and reliability of electron and ion integrated circuit devices and interconnects, involving insulators, metals, organic materials, micro-plasmas, semiconductors, quantum-effect structures, vacuum devices, and emerging materials with applications in bioelectronics, biomedical electronics, computation, communications, displays, microelectromechanics, imaging, micro-actuators, nanoelectronics, optoelectronics, photovoltaics, power ICs and micro-sensors.