{"title":"Frequency adaptive and frequency domain adjustable frictional electric vibration sensor and its application in CNC machine tools","authors":"Jianfeng Tang , Yong Hu , Yinglong Shang , Mingxu Xu , Xinghua Zhou , Jianhai Zhang","doi":"10.1016/j.nanoen.2025.111002","DOIUrl":"10.1016/j.nanoen.2025.111002","url":null,"abstract":"<div><div>In the process of promoting the transformation of global manufacturing towards intelligence and green, vibration monitoring of CNC machine tools is crucial for ensuring machining quality and preventing failures. However, due to energy and wiring maintenance issues, traditional active sensors are difficult to match the requirements of highly integrated, high-precision, and wideband monitoring. This study introduces a frequency adaptive and frequency domain adjustable triboelectric vibration sensor (AR-TVS) integrated into the tool holder of a machine tool, as well as its supporting monitoring and early warning system. For machine tool spindles with dense energy gathering, it is proposed to use spindle vibration excitation and vibration coupling of AR-TVS nonlinear structure to broaden the frequency domain and adaptively adjust the speed frequency. The efficient frequency extension mechanism and stability mechanism of mixed nonlinear resonance phenomenon under multi-input excitation are revealed. The influence of the centrifugal hardening effect on the natural frequency of the structure under different speeds is analyzed. Combined with the beam collision frequency extension mechanism, the frequency response range of AR-TVS is widened to meet the monitoring needs of different working conditions. We established a collision dynamics model for AR-TVS and verified its comprehensive response capability under complex conditions such as simulated eccentricity, temperature rise, and iron chip impact. AR-TVS demonstrated excellent performance with frequency monitoring errors below 1 % over a wide frequency range. This study provides reliable technical support for precise state monitoring and intelligent analysis of CNC machine tools under complex working conditions.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 111002"},"PeriodicalIF":16.8,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel triboelectric generator based on wind-induced film vibration for harvesting breeze energy","authors":"Jin-Ping Qu , Haifei Zhong , Nannan Bao, Cong Fang, Huanhuan Zhang, Haowei Jiang, Zhao-Xia Huang","doi":"10.1016/j.nanoen.2025.111005","DOIUrl":"10.1016/j.nanoen.2025.111005","url":null,"abstract":"<div><div>Environmental pollution and energy crisis have propelled the exploration of sustainable energy technologies. Wind power generation has garnered significant attention due to its abundant resources and pollution-free characteristics. However, the current wind turbines are limited by their complex structure, resulting in a relatively high cut-in wind speed (>5 m/s) and low power density per unit volume. This makes it difficult to efficiently harvest low-speed wind energy on a large scale. A wind-induced film vibration triboelectric generator (WV-TENG) incorporating a stackable dual-blade structure is engineered to achieve the harvesting of breeze energy (2–5 m/s) and high output power. Experimental results demonstrate that the central fixed structure generates 434 V open-circuit voltage, 118 μA short-circuit current, and 35.5 mW peak power at 5 m/s wind speed. The parallel-connected multi-unit design significantly enhances output performance, achieving a 95 % surge in peak current (230 μA) with four generation units. This stackable structure enables large-scale deployment in urban environments, providing an innovative solution for low-speed wind energy utilization.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 111005"},"PeriodicalIF":16.8,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-11DOI: 10.1016/j.nanoen.2025.110992
Xiaolong Hu , Zhiyuan Zhou , Lingfang Kong , Dongxin Guo , Pu Zhou , Jiayu Li , Boxun Liu , Yahui Li , Hongqiang Gao , Wenjuan Wei , Zhiqun Tian , Guanlin Liu , Lingyu Wan
{"title":"Synergistic enhancement of hydrovoltaic power generation via functionalized covalent organic frameworks with surface charge engineering and evaporation dynamics","authors":"Xiaolong Hu , Zhiyuan Zhou , Lingfang Kong , Dongxin Guo , Pu Zhou , Jiayu Li , Boxun Liu , Yahui Li , Hongqiang Gao , Wenjuan Wei , Zhiqun Tian , Guanlin Liu , Lingyu Wan","doi":"10.1016/j.nanoen.2025.110992","DOIUrl":"10.1016/j.nanoen.2025.110992","url":null,"abstract":"<div><div>The water evaporation-induced electricity generation through nanomaterial microchannels represents a promising hydrovoltaic technology. However, its practical application remains limited by low power density. In this study, we introduced neutral group pyridinic N and negatively charged -SO<sub>3</sub>H group into covalent organic frameworks (COFs) through chemical modification to fabricate hydrovoltaic devices. Experimental results indicate that these functional group modifications enhance water desorption dynamics and increase the surface charge density within the COF channels, thereby synergistically improving the hydrovoltaic effect. The optimized COFs device (1.5 cm × 3 cm) achieves an open-circuit voltage of 1.4 V, a short-circuit current of 14.9 μA, and an output power density of 4.4 μW·cm<sup>−2</sup>, maintaining stable operation for over 48 hours. COF-based hydrovoltaic devices exhibit high output power, excellent stability, and good scalability, offering a promising technological pathway for the development of high-performance hydrovoltaic materials.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 110992"},"PeriodicalIF":16.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Self-retracting triboelectric-electromagnetic hybrid sensor for high-precision displacement and speed monitoring","authors":"Leilei Zhao , Shouchuang Jia , Weizhao Feng , Lebing Wu , Guobin Chen , Renping Cai , Guonan Xie , Chenyu Fang , Binyu Qin , Xiya Yang","doi":"10.1016/j.nanoen.2025.110964","DOIUrl":"10.1016/j.nanoen.2025.110964","url":null,"abstract":"<div><div>Self-powered sensors have become pivotal in the era of Internet of Things (IoT). However, triboelectric nanogenerator (TENG)-based self-powered sensors usually encounter challenges in practical applications due to the instability of their output signals, particularly the susceptibility of signal amplitude to environmental factors. Herein, a self-retracting triboelectric-electromagnetic hybrid nanogenerator (SRTE-HNG) via rotating and stretching is designed to achieve high-precision displacement and speed measurement. Basically, the SRTE-HNG comprises a stator and a rotor, the triboelectricity and electromagnetic electricity will be generated simultaneously via stretching of a fluorinated ethylene propylene (FEP) film that drives the rotor. The triboelectric signals are used for displacement measurement, while the electromagnetic signals provide the speed feedback through periodic variations, as a result, the complementary of the two effects significantly improves the sensor’s accuracy and stability. The SRTE-HNG consistently outputs high-quality signals under various stretching lengths and speeds, achieving maximum <em>V</em><sub><em>oc</em></sub> of 520 V and <em>I</em><sub><em>sc</em></sub> of 6 mA for TENG and EMG, respectively. In terms of sensing performance, the TENG demonstrates displacement and velocity sensitivities of 2.79 V mm<sup>−1</sup> and 10.62 V (cm/s)<sup>−1</sup>, while the EMG shows sensitivities of 0.033 mA mm<sup>−1</sup> and 0.13 mA (cm/s)<sup>−1</sup>. Both exhibit a linearity exceeding 0.99 and a response time of 19 ms. This shows SRTE-HNG excels in energy harvesting and self-powered sensing, providing an efficient, reliable solution for future smart sensing systems and wearables.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 110964"},"PeriodicalIF":16.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-11DOI: 10.1016/j.nanoen.2025.110994
Chao Wang, De Gong, Deyuan Zhang, Jun Cai
{"title":"A skin-inspired multifunctional soft actuator based on PVDF/MXene with fast response, large deformation, and high stability","authors":"Chao Wang, De Gong, Deyuan Zhang, Jun Cai","doi":"10.1016/j.nanoen.2025.110994","DOIUrl":"10.1016/j.nanoen.2025.110994","url":null,"abstract":"<div><div>Soft actuators are widely emphasized for their applications in artificial intelligence, human prosthesis, and intelligent robotics. Among them, piezoelectric actuators stand out due to good mechanical properties and fast response performance. However, it remains a major challenge to endow them with large deformation capability and stability. Inspired by human skin, we proposed a novel strategy to construct multifunctional soft actuators based on polyvinylidene difluoride (PVDF) and MXene via gradient strain mismatch. Polyethylene terephthalate (PET) with Young’s modulus provides stable support for the actuator, and PVDF/MXene with small Young’s modulus and excellent inverse piezoelectricity endows it with large deformation. Due to the modification of MXene, larger proportion of β crystalline phase in PVDF can be induced to amplify the deformation capability. Under synergies of inverse piezoelectric effect and gradient strain mismatch, the actuator can realize fast response (104 ms), large deformation (16 mm), and high stability (> 3000 testing cycles). Thereon, a bionic electronic hand, a soft gripper, and a dragonfly-like robot integrated with high-performance actuators are successively constructed to demonstrate their versatility and superior performance. Hence, this work offers a paradigm to fabricate multifunction soft actuators with great potentials in human-machine interaction, electronic protheses, and soft robots.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"139 ","pages":"Article 110994"},"PeriodicalIF":16.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-11DOI: 10.1016/j.nanoen.2025.111001
Haoyu Chen , Jiahao Shi , Lifu Yan , Naomi Keena , Abdolhamid Akbarzadeh
{"title":"Charge pumping triboelectric metamaterials with capacitor-enabled multifunctionalities","authors":"Haoyu Chen , Jiahao Shi , Lifu Yan , Naomi Keena , Abdolhamid Akbarzadeh","doi":"10.1016/j.nanoen.2025.111001","DOIUrl":"10.1016/j.nanoen.2025.111001","url":null,"abstract":"<div><div>Most traditional triboelectric nanogenerators (TENGs) feature alternating current (AC) output and cannot be directly utilized as a power source to charge energy storage systems or drive direct current (DC) electronic devices. Converting AC into DC typically requires stiff and complicated rectifier bridge circuits, which hinders TENG’s integration into rationally designed flexible three-dimensional architectures to construct all-in-one energy harvesting-storing multifunctional metamaterials. Herein, triboelectric metamaterial (TM) with a charge pumping mechanism is developed to harvest energy from linear mechanical motions and generate DC output. The TM incorporates a capacitor composed of negative electrodes and an assistant electrode for charge storing and charge transfer boosting. Under open-circuit conditions, triboelectric charges are sustainably accumulated and stored within all the electrodes. With the extra charge storage of the capacitor formed by the negative electrode and the assistant electrode, the TMs’ charge-storing capability can be enhanced by 203 %. Moreover, the accumulated charges in the assistant electrode during open-circuit energy harvesting amplify the short-circuit charge output by 55.6 % through electrostatic induction. TM’s inner part can serve as a portable power source storing the harvested electricity independently upon completion of the TM’s open-circuit energy harvesting. In addition, the TM can detect the proximity of charge-carrying objects by monitoring fluctuations in open-circuit voltage over time. The seamless integration of charge pumping, energy storing, and sensing functionalities offered by the TMs imparts paradigm shifts in energy harvesters to be applied as portable green power sources and self-sensing intelligent suspension systems.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 111001"},"PeriodicalIF":16.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-11DOI: 10.1016/j.nanoen.2025.110997
Divij Bhatia , Uk Jegal , Eunmin Ko, Nam Ji Sung, Jennifer H. Shin, Hyung-Soon Park
{"title":"Triboelectric nanogenerator for modulating neuronal outgrowth and neuroplasticity through controlled stimulation","authors":"Divij Bhatia , Uk Jegal , Eunmin Ko, Nam Ji Sung, Jennifer H. Shin, Hyung-Soon Park","doi":"10.1016/j.nanoen.2025.110997","DOIUrl":"10.1016/j.nanoen.2025.110997","url":null,"abstract":"<div><div>Electrical stimulation effectively accelerates rehabilitation but is limited by the reliance on external power sources or frequent battery replacements, reducing its practicality for long-term use. To address this limitation, triboelectric nanogenerators (TENGs) offer a self-powered alternative, converting human kinetic energy into electrical energy. Although promising in both in vitro and in vivo studies, TENG-based stimulation is constrained by insufficient current output, falling short of the milliampere range needed for effective stimulation. In this study, we developed a TENG system with periodic switching to overcome these limitations, achieving higher current output and reduced internal impedance. The TENG device was integrated with an agar salt bridge setup to deliver controlled electric field (EF) stimulation to neurons isolated from rat pup brains. Subthreshold EF stimulation and suprathreshold EF stimulation were systematically compared for their effects on neuronal outgrowth. Immunofluorescence analysis revealed that subthreshold stimulation primarily induced neurite sprouting, characterized by increased attachment points and initial elongation, whereas suprathreshold stimulation significantly enhanced neurite branching, morphological complexity, and synaptogenesis. These morphological trends were further supported by qPCR analysis, which demonstrated a dose-dependent upregulation of neuroplasticity-related genes, including those associated with neurite outgrowth. Together, these findings highlight the efficacy of TENG-based EF stimulation in promoting neuroplasticity and suggest its potential as a scalable, self-powered tool for facilitating neuronal recovery and rehabilitation following injuries.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 110997"},"PeriodicalIF":16.8,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-10DOI: 10.1016/j.nanoen.2025.110983
Ji Eun Kim , Suman Hu , Ju Young Kwon , Suk Yeop Chun , Keunho Soh , Hwanhui Yun , Seung-Hyub Baek , Sahn Nahm , Yeon Joo Jeong , Jung Ho Yoon
{"title":"Cluster-type conductive path-based selector-less 1R memristor array for spiking neural networks","authors":"Ji Eun Kim , Suman Hu , Ju Young Kwon , Suk Yeop Chun , Keunho Soh , Hwanhui Yun , Seung-Hyub Baek , Sahn Nahm , Yeon Joo Jeong , Jung Ho Yoon","doi":"10.1016/j.nanoen.2025.110983","DOIUrl":"10.1016/j.nanoen.2025.110983","url":null,"abstract":"<div><div>Memristors hold great promise as next-generation devices, but their practical application faces challenges such as achieving low power consumption, multi-level resistance states, and efficient crossbar array construction. The switching characteristics and performance of memristors depend largely on the mobile species and the matrix through which they move, yet controlling ion dynamics remains difficult. In this study, we employed ruthenium (Ru) as the active electrode and utilized a SiO<sub>2</sub> matrix in a nanorod structure, which reduces the activation energy for Ru ion diffusion and enhances redox reactions. Precise control of Ru ion dynamics enabled us to develop novel conduction paths and mechanisms. The Pt/SiO<sub>2</sub> nanorods/Ru structure exhibits improved switching characteristics, including electroforming-free operation, low power consumption, highly linear conductance modulation, and inherent nonlinearity in the on-state. To demonstrate operational potential in large-scale crossbar arrays, we introduced a novel Spiking Neural Network (SNN) simulator that incorporates both device-level switching behaviors and key array-level parameters such as line resistance and sneak currents. Using this simulator, we successfully implemented a 16 × 16 selector-less crossbar array, achieving 80 % accuracy on the MNIST dataset.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 110983"},"PeriodicalIF":16.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-10DOI: 10.1016/j.nanoen.2025.110996
Donghan Lee , Sumin Cho , Yu-seop Kim , Yungeon Jang , Donggeun Oh , Yoonsang Ra , Sunmin Jang , Seonghun Hwang , Joonmin Chae , Kyungwho Choi , Dongwhi Choi
{"title":"A self-adaptive triboelectric-electromagnetic hybrid wind energy harvester for sustainable air quality control and environmental monitoring","authors":"Donghan Lee , Sumin Cho , Yu-seop Kim , Yungeon Jang , Donggeun Oh , Yoonsang Ra , Sunmin Jang , Seonghun Hwang , Joonmin Chae , Kyungwho Choi , Dongwhi Choi","doi":"10.1016/j.nanoen.2025.110996","DOIUrl":"10.1016/j.nanoen.2025.110996","url":null,"abstract":"<div><div>Among the representative energy-harvesting devices, wind energy harvesters require a sophisticated system design that considers the nature of wind, which is characterized by fluctuating and broad wind speed ranges. This study presents a self-adaptive rotational triboelectric–electromagnetic hybrid wind energy harvester (SAREH) capable of autonomously adapting its configuration according to wind speed. Because the energy-harvesting efficiency at a specific wind speed depends on the configuration of the system, the autonomous adaptation of the SAREH configuration enables effective energy harvesting across a broader range of wind speeds. Furthermore, by hybridizing a triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG), which have distinct electrical output characteristics, the SAREH can satisfy various electrical power input demands for electronic devices. As a result, the SAREH powers a self-powered air purification and air quality monitoring system using the TENG output for dust absorption and the EMG output for operating a dust-detecting device, even under lower wind speed conditions. This study provides significant insights into not only the design process of energy-harvesting systems for enhanced input energy conversion but also a sustainable air quality control system for a clean environment.</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"140 ","pages":"Article 110996"},"PeriodicalIF":16.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nano EnergyPub Date : 2025-04-10DOI: 10.1016/j.nanoen.2025.110999
Yeon Seo An , Dowon Kim , Young Ran Park , Jung Sun Eo , Mingyu Kim , Donghyeok Kim , Hyeon Bin Kim , Byunggeun Lee , Gunuk Wang
{"title":"Implementation of monolithic 3D integrated TiOx memristor-based neural network for high-performance in-memory computing","authors":"Yeon Seo An , Dowon Kim , Young Ran Park , Jung Sun Eo , Mingyu Kim , Donghyeok Kim , Hyeon Bin Kim , Byunggeun Lee , Gunuk Wang","doi":"10.1016/j.nanoen.2025.110999","DOIUrl":"10.1016/j.nanoen.2025.110999","url":null,"abstract":"<div><div>The monolithic three-dimensional (M3D) integration of memristor arrays with silicon transistors facilitates energy-efficient parallel data processing and attains high-density arrays, representing a breakthrough approach for in-memory computing systems. In this study, we designed and fabricated a 1-kbit M3D integration of TiO<sub><em>x</em></sub> memristor (1 M) and the transmission gate-inverter circuit comprising of four MOSFETs as a transistor-selector (1TS), confirming both operational voltage range and current levels between 1 M and 1TS are well aligned. The designed 1TS efficiently eradicates voltage drops and substantially alleviates sneak current due to its high ON/OFF ratio of 7.18 × 10<sup>7</sup>, providing robust binary inputs with lower power consumption. Essential synaptic functions for 1-kbit 1 M and 1TS-1M arrays were validated, demonstrating consistent and robust LTP and LTD functions across 3000 pulses, with varying learning rates corresponding to the programming voltage schemes. Our 1-kbit 1TS-1M array architecture has the potential to be scaled to a 1.14 Tbit crossbar array without cell interference, becoming one of the largest M3D of memristor array configurations for in-memory computing and suggesting its capability to operate complex models. It demonstrates the viability of deploying a large-scale in-memory computing system efficient for accurately learning and recognizing complex tasks. This 1TS-1M array system achieved up to 79.47 % and 84.89 % recognition accuracies for the CIFAR-10 and UTK face images dataset, respectively, even in the limited convolution and pooling layers in the convolution neural network (CNN).</div></div>","PeriodicalId":394,"journal":{"name":"Nano Energy","volume":"139 ","pages":"Article 110999"},"PeriodicalIF":16.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143819665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}