Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators

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Adaptive mode selection of electrical activities in a neuron with a memristive ion channel

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Flexible TiO2-WO3−x hybrid memristor with enhanced linearity and synaptic plasticity for precise weight tuning in neuromorphic computing

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Self-rectifying memristors with high rectification ratio for attack-resilient autonomous driving systems

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Multifunctional Chiral Halide Perovskites: Advancing Chiro‐Optics, Chiro‐Optoelectronics, and Spintronics

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A Review of Recent Developments in Neuromorphic Computing Based on Emerging Memory Devices

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From Oxides to 2D Materials: Advancing Memristor Technologies for Energy-Efficient Neuromorphic Computing

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A neuronal circuit based on a second-order memristor

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Overshoot‐Suppressed Memristor Crossbar Array with High Yield by AlOx Oxidation for Neuromorphic System

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ZnO-ITO/WO3−x heterojunction structured memristor for optoelectronic co-modulation neuromorphic computation

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Advances of Emerging Memristors for In-Memory Computing Applications

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Interface-engineered Gd₂O₃/ZrO₂ bilayer memristor for emulating synaptic plasticity in neuromorphic systems

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Real-time signal processing enabled by fused networks on a memristor-based system on a chip

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Self-rectifying memristors with high rectification ratio and dynamic linearity for in-memory computing

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Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis

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SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)

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A fluorite-structured HfO 2 /ZrO 2 /HfO 2 superlattice based self-rectifying ferroelectric tunnel junction synapse

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Self-Rectifying Memristor-Based Reservoir Computing for Real-Time Intrusion Detection in Cybersecurity

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Photoelectric Reservoir Computing Based on TiOx Memristor for Analog Signal Processing

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Large-scale crossbar arrays based on three-terminal MoS2 memtransistors

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Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects

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Optoelectronic Synaptic Memristor with Coupled Reversible Self‐Rectifying and Bipolar Resistive Switching for Multifunctional Neuromorphic Applications

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Bifunctional optoelectronic devices based on Ruddlesden-Popper Sr2TiO4 for emulating neuromorphic attention mechanisms

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Interface-Type Ionic Memristor for Energy-Efficient Neuromorphic Hardware

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Oxide Memristor of Ag/Ag + Doped V 2 O 5 and SnO 2 Bilayer Thin Film for Energy Efficient Memory, Logic and Neuromorphic Device Application

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Demonstration of CMOS-compatible memristor-based electrochemical biosensor transducer with threshold-sensing functionality

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Two-terminal β-Ga2O3 photo-synapse for diversified in-sensor computing via self-trapped holes engineering

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Digital Light Processing 3D Printing Technology in Biomedical Engineering: A Review

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IGZO/InHfO x Nanowires/IGZO Phototransistor With Persistent Photoconductivity Effect for Intelligent Visual Perception Application

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Self-rectifying NiOX/WOX heterojunction synaptic memristor for crossbar architectured reservoir computing system

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Temperature-dependent behavior of VO2-based artificial neurons

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Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication

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Composition-dependent electrical characteristics of GeSeTe-based selector-only memory device

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Memristor-based Neuromorphic Diagnostic Systems: An Emerging Strategy for Intelligent Medicine

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Stochastic self-rectifying memristor crossbar array as physical unclonable function for authentication and tamper-evident image security

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AI-driven model for optimized pulse programming of memristive devices

Spetzler, B., Fritscher, M., Park, S., Kim, N., Wenger, C., & Ziegler, M. (2025) · APL Machine Learning · doi:10.1063/5.0251113 · Cited by 7 · see citing works

Advancements in Fluidic Ionic Devices: Implications for Neuromorphic Integrated Circuit Design

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Memristor devices for next-generation computing: from performance optimization to application-specific co-design

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Device‐Level Implementation of Reservoir Computing With Memristors

Park, S., Kim, H., & Jang, H. W. (2026) · Advanced Intelligent Systems · doi:10.1002/aisy.202500843 · Cited by 8 · see citing works

Artificial Intelligence for Materials Science: Transforming Research Paradigms

Li, Y., Wang, S., Wang, J., Liu, Q., & Zhang, J. (2026) · Chemical Reviews · doi:10.1021/acs.chemrev.6c00012 · Cited by 8 · see citing works

A Fully Integrated Memristive Chaotic Circuit Based on Memristor Emulator with Voltage-Controlled Oscillator

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Functional interface layer for a high-performance self-rectifying memristive device using hafnium-zirconia thin film

Jeong, S. Y., Jung, J., Seo, H. K., Jeong, J., Lee, J. H., Kim, G. H., & Yang, M. (2024) · Results in Engineering · doi:10.1016/j.rineng.2024.102906 · Cited by 7 · see citing works

Superior rectification self-rectifying memristors with self-recovery capabilities enabled by GaOx/InOx heterostructures

Fan, X., Wang, Z., Yu, H., Zhang, G., Li, P., Zhang, Z., Zhu, X., & Zhang, Y. (2025) · Applied Physics Letters · doi:10.1063/5.0283706 · Cited by 6 · see citing works

Progress in Optoelectronic Synapses for Reservoir Computing: Materials, Device Integration, and Neuromorphic System Applications

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Au‐Nanodots Embedded Self‐Rectifying Analog Charge Trap Memristor with Modified Bias Voltage Application Method for Stable Multi‐Bit Hardware‐Based Neural Network

Park, T., Kim, J., Kwon, Y. J., Kim, H., Yim, S., Shin, D. H., Kim, Y. R., Kim, H. J., & Hwang, C. S. (2024) · Advanced Materials Technologies · doi:10.1002/admt.202400965 · Cited by 6 · see citing works

Selector‐Free 16 × 16 CrO X /TiO 2 ‐Based Memristor Array for Synaptic Dynamics and LTP/ LTD Emulation: Experimental–Computational Correlation

Pham, P., Tran, T., Anh, T. V. V., Nguyen, T. D., Brügger, J., Kawazoe, Y., Phan, T. B., Nguyen-Tran, T., Vu, N. H., & Pham, N. K. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202516695 · Cited by 5 · see citing works

Skin-conformal electronics for intelligent gesture recognition

Lee, I., Shin, H., Cho, H., Choi, J.-G., Wang, G., & Park, S. (2025) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-025-00215-0 · Cited by 5 · see citing works

Li-based NbOx self-rectifying memristor crossbar arrays for precisely reversible weight programming

Son, J.-K., Kim, H., Son, K., Shin, Y.-S., Dae-Hee, H., & Lee, H. (2026) · Nano Energy · doi:10.1016/j.nanoen.2026.111869 · Cited by 5 · see citing works

Cluster-type conductive path-based selector-less 1R memristor array for spiking neural networks

Kim, J. E., Hu, S., Kwon, J. Y., Chun, S. Y., Soh, K., Yun, H., Baek, S., Nahm, S., Jeong, Y. J., & Yoon, J. H. (2025) · Nano Energy · doi:10.1016/j.nanoen.2025.110983 · Cited by 4 · see citing works

Vertical Self‐Rectifying Memristive Arrays for Page‐Wise Parallel Logic and Arithmetic Processing

Son, K., Cho, J. M., Shin, D. H., Kim, Y. R., Ghenzi, N., Cheong, S., Kim, B. S., Lee, J., Kim, S., Choi, W., et al. (2025) · Advanced Materials · doi:10.1002/adma.202514099 · Cited by 4 · see citing works

HfO 2 -based memristive synapses with asymmetrically extended p-n heterointerfaces for highly energy-efficient neuromorphic hardware

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Fault Impact Map for Memristive Crossbar Neural Networks

Schroedter, R., Haidar, A., & Tetzlaff, R. (2024) · International Conference on Modern Circuits and Systems Technologies · doi:10.1109/mocast61810.2024.10615515 · Cited by 4 · see citing works

Microfluidic memristive oscillators as universal logic gates for neuromorphic computing

Stuhlmüller, N. C. X., van Roij, R., & Dijkstra, M. (2025) · Soft Matter · doi:10.1039/d5sm00601e · Cited by 4 · see citing works

A Fault-Tolerant Framework for Stuck-at Fault Mitigation in Memristor-Based Ternary Neural Networks

You, K., & Li, C. (2025) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2025.3609785 · Cited by 4 · see citing works

Dynamic memristor array with multiple reservoir states for training efficient neuromorphic computing

Noh, M., Ju, D., & Kim, S. (2024) · Journal of Materials Chemistry C · doi:10.1039/d4tc02324b · Cited by 4 · see citing works

Transistor-Structured Artificial Dendrites for Spatiotemporally Correlated Reservoir Computing

Ni, Y., Zhang, Y., Lin, J., Liu, X., Yu, Y., Liu, L., Zhong, W., Chen, Y., Chen, R., Kwok, H. S., et al. (2025) · IEEE Electron Device Letters · doi:10.1109/led.2025.3598823 · Cited by 3 · see citing works

A Multifunctional Self-Rectifying Memristor Enabling LIF Neuron and Nociceptor Behaviors

Cai, B., Wang, C., Chen, K., Sun, Q., Zhang, D. W., & Chen, L. (2025) · IEEE Electron Device Letters · doi:10.1109/led.2025.3614142 · Cited by 3 · see citing works

Energy-efficient reservoir computing with 10 × 10 crossbar array memristor for high performance multitask recognition

Ghafoor, F., Kim, H., Zhang, H., Ghafoor, B., Lee, M., Shi, T., & Kim, D. (2026) · Advanced Composites and Hybrid Materials · doi:10.1007/s42114-025-01566-w · Cited by 3 · see citing works

Integrated ZnO-Based Synaptic Devices to Implement Multiple-Layer Neural Networks on CMOS Circuit Platform for High-Performance Synapse Applications

Kim, Y. W., An, Y.-J., Kim, S.-H., Kim, Y.-B., Kim, D.-M., Gautam, S. K., Ban, S.-H., Lee, J.-H., Yeom, J.-H., Kim, K., et al. (2026) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.5c02491 · Cited by 3 · see citing works

Self-Organized Protonic Conductive Nanochannel Arrays for Ultra-High-Density Data Storage

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Curvature-Based Piecewise Linear Approximation Method of GELU Activation Function in Neural Networks

Mohaidat, T., Khan, M. R. K., & Khalil, K. (2024) · International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) · doi:10.1109/aibthings63359.2024.10863181 · Cited by 3 · see citing works

Electric Field‐Driven Conformational Changes in Molecular Memristor and Synaptic Behavior

Lim, C., Kim, T., Park, Y. J., Kim, D., Shin, C., Ha, S., Lin, J., Li, Y., & Park, J. (2025) · Advanced Science · doi:10.1002/advs.202505016 · Cited by 3 · see citing works

Device-level nonlinearity and temporal memory in optoelectronic reservoir computing

Lee, W. W., Cho, J.-H., Hur, J., Oh, H., & Yoo, H. (2025) · Nano Convergence · doi:10.1186/s40580-025-00522-0 · Cited by 5 · see citing works

Rigid propagation of visual motion in the insect’s neural system

Chen, H., Fan, B., Li, H., & Peng, J. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106874 · Cited by 3 · see citing works

Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model

Liu, Z. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318075 · Cited by 3 · see citing works

Designing Memristive Materials for Artificial Dynamic Intelligence

Kim, Y. S., & Jang, H. W. (2025) · Advanced Intelligent Discovery · doi:10.1002/aidi.202500020 · Cited by 2 · see citing works

Ag/Ti/GeS/Ag Bidirectional Conductive-Bridge Selector with Low Turn-Off Latency, High Endurance, and Enhanced Switching Uniformity

Ali, A., Abbas, H., Li, J., Jung, J., & Ang, D. S. (2024) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.4c01392 · Cited by 2 · see citing works

GRAMC: General-Purpose and Reconfigurable Analog Matrix Computing Architecture

Pan, L., Wang, S., Zuo, P., & Sun, Z. (2025) · Design, Automation, and Test in Europe · doi:10.23919/date64628.2025.10992953 · Cited by 1 · see citing works

Computational magnetic metasurfaces in the low radiofrequency regime

Dellabate, A., Monorchio, A., & Brizi, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-24629-w · Cited by 1 · see citing works

Van der Waals integration of 2D materials for advanced intelligent computing

Kwak, C., Park, K., Song, M., Jang, H. W., & Suh, J. M. (2025) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ae294e · Cited by 1 · see citing works

First Demonstration of Adversarial Steganography Using Self-Selective Array for Efficient and Secure Cloud-Edge Computing

Zhang, G., Fan, X., Wang, Z., Li, P., Zhou, Y., Sun, D., Ren, K., Li, Y., Yu, B., Wan, Q., et al. (2025) · Technical digest - International Electron Devices Meeting/Technical digest · doi:10.1109/iedm50572.2025.11353573 · Cited by 1 · see citing works

Hydrogen‐Assisted Asymmetric and Nonlinear Memristor Array for Reconfigurable Olfactory Graph Networks

Chun, S. Y., Jang, Y. H., Kim, J. E., Soh, K., Nam, M. S., Yu, N. K., Han, J., Lee, S. H., Kang, C., Hwang, C. S., et al. (2026) · Small Methods · doi:10.1002/smtd.202502405 · Cited by 1 · see citing works

WO3−x:N/ZnO:N broadband optoelectronic synapse for object detection in edge computing

Wu, T., Wu, J., Yue, W., Zhang, M., Kim, E.-S., Kim, N., & Li, Y. (2026) · Science China Materials · doi:10.1007/s40843-025-3839-4 · Cited by 1 · see citing works

Fast and energy-efficient resistive switching in ZrOx/TaOx bilayer structures under ultra-low voltage operation for next-generation memory applications

Lee, M. K., Jeong, J.-S., Jung, J., Seo, H. K., Shin, C., Kim, G. H., & Yang, M. K. (2026) · Advanced Composites and Hybrid Materials · doi:10.1007/s42114-026-01695-w · Cited by 1 · see citing works

RRAM-enabled reservoir computing: from interfacial switching dynamics to scalable and hybrid architectures

Ju, S., & Kim, S. (2026) · Journal of Materials Chemistry C · doi:10.1039/d6tc00138f · Cited by 1 · see citing works

Amorphous LiNbO 3 memristors for nonvolatile memory and neuromorphic computing with metaplasticity-enabled learning

Dong, M., Hu, R., Wang, J., Han, J., Wu, Z., Li, D., Yang, D., & Pi, X. (2026) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ae6f47 · Cited by 1 · see citing works

Characteristics of multi-level resistance states in hafnium oxide-based nonvolatile memristors

Wang, Y., Zhou, J., Huang, C.-Y., Yu, W.-D., Wu, H., Lin, S., Tian, N., Li, Q., & Zhang, B. (2026) · Nano Express · doi:10.1088/2632-959x/ae72ab · Cited by 1 · see citing works

Ultrafast Self-Rectifying Memristors for Advanced in-Memory Computing

Zhang, G., Wang, Z., Fan, X., Wang, Z., Li, P., Gao, D., & Zhang, Y. (2024) · IEEE International Conference on IC Design and Technology (ICICDT) · doi:10.1109/icicdt63592.2024.10717728

Amorphous Ta 2 O 5 memristor with excellent self-selective and artificial synaptic properties for artificial neural networks

Kim, B., Lee, G.-S., Kwak, S., Min, B.-J., Choi, B.-H., Choi, H.-J., Jeong, J., & Nahm, S. (2025) · Journal of Materials Chemistry C · doi:10.1039/d5tc01371b

Self-Rectifying Memristors with High Rectification Ratio for Security Primitives with Ultra-Low Bit-Errors

Zhang, G., Wang, Z., Fan, X., Gao, D., & Zhang, Y. (2025) · IEEE Electron Devices Technology & Manufacturing Conference (EDTM) · doi:10.1109/edtm61175.2025.11040489

Self-Selective Memristors for Real-Time Wireless Communication Encryption System with Ultra-Low Bit Error Rate

Zhang, G., Wang, Z., Fan, X., Ma, Y., Yu, B., Wan, Q., & Zhang, Y. (2025) · doi:10.1109/esserc66193.2025.11213955

Li-based NbOx Self-Rectifying Memristors: Precisely Reversible Weight-Transfer Crossbar Arrays for Energy Efficient Inference HardwarePreprint

Lee, H., Son, J.-K., Kim, H.-S., Son, K., Shin, Y.-S., & Han, D.-H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5763137

High-density conductance states and synaptic plasticity in SnP 2 S 6 memristors for neuromorphic computing

Tun, T. T. T., Huo, J., & Ang, K. (2025) · Nanoscale Horizons · doi:10.1039/d5nh00675a

Analyzing Bridge Synaptic Neuron Circuit and Mapping to Memristor Crossbar for Neuromorphic Application

Samanta, P., Yadav, D. N., Das, P. P., & Sengupta, I. (2025) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126626500775

Fully parallel programming on 1k graphene interfacial memristor crossbar array for edge computingPreprint

Roy, T. (2026) · Research Square · doi:10.21203/rs.3.rs-8051099/v1

Negative feedback in Hf0.5Zr0.5O2 resistive memory: Feigenbaum route towards two-terminal pseudo-random number generation and neural network instabilitiesPreprint

Obernberger, S., González, Y., Sarkissian, A., Schindler, C., & Ruediger, A. P. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6250359

Accelerating optimisation algorithms via optical propagation in complex media

Delloye, L. (2024) · theses.fr (ABES) · doi:10.70675/4b413b60z53e5z41bdzb56ezd58ede1ef04d

GRAS: General-Purpose and Reconfigurable Analog Solver for Matrix Computing

Pan, L., Wang, S., Zuo, P., & Sun, Z. (2026) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2026.3682645

Signal Integrity-Based Improved Training and Inference Scheme for Memristor Crossbar Arrays

Ma, H., Qiu, J., Shi, Y., Peng, B., Zhu, X., Chen, W., Li, D., & Li, E. (2026) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2026.3685536

Electrochemical Memristive Devices Toward Brain‐Inspired Computing and In‐Memory Communication: Mechanisms, Materials, and Device Engineering

Xu, J., & Sun, Y. (2026) · ChemElectroChem · doi:10.1002/celc.70208

A Low-Power, Analog-Integrated, Current-Mode, and Fully Tunable Artificial Neural Network Classifier Architecture for Biomedical Engineering Applications

Alimisis, V., Papathanasiou, A., Moustakas, V., Mylona, A., Dimas, C., & Sotiriadis, P. P. (2026) · IEEE Open Journal of Circuits and Systems · doi:10.1109/ojcas.2026.3665625

Bidirectional highly nonlinear analog memristor based on band-to-band tunneling for reliable crossbar array operation

Chung, P. H., Ryu, J., Seo, D., Min, K., & Yoon, T. (2026) · npj Unconventional Computing · doi:10.1038/s44335-026-00065-5

High-Reliability Volatile Self-Rectifying Memristors for Reservoir Computing

Cai, B., Wang, C., Chen, K., Sun, Q., Zhang, D. Y., & Chen, L. (2026) · IEEE Electron Devices Technology & Manufacturing Conference (EDTM) · doi:10.1109/edtm65772.2026.11497550

Vapor phase growth and oxygen vacancy engineering of ultrathin 2D Co 3 O 4 nanosheets for self-rectifying memristors

Bai, Y., Kong, Y., Du, Y., Zhang, J., Liu, S., Liu, M., Chen, S., Zha, C., Meng, Z., Zhang, L., et al. (2026) · Nano Research · doi:10.26599/nr.2026.94908794

An overview of security and privacy approaches to Brain-Brain Interfaces: Security architecture, fundamental consideration, and future directions

Far, S. B., Qazani, M. R. C., & Rad, A. I. (2026) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-026-02268-w

Self-rectifying Ag2O1-δ-based synaptic crossbar array for neuromorphic computing applications

Keshari, B. K., Madadi, C. K. R., Debroy, S., Salimath, A., Mattela, V., & Sahatiya, P. (2026) · Communications Materials · doi:10.1038/s43246-026-01165-2

Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Bayat, F. M., Prezioso, M., Chakrabarti, B., Nili, H., Kataeva, I., & Strukov, D. (2018) · Nature Communications · doi:10.1038/s41467-018-04482-4 · Cited by 377 · see citing works

In-Memory Computing Enabled by 32 × 8 1T1R Memristive Crossbar Arrays

Mikhaylov, A., Shchanikov, S., Koryazhkina, M., Bordanov, I., Lukoyanov, V., Belov, A. I., Zharkov, G., Serov, D. A., Antonov, I., Kotina, A. Y., et al. (2026) · Electronics · doi:10.3390/electronics15184267

Memristive crossbars as hardware accelerators: modelling, design and new uses

Joksas, D. (2022) · UCL Discovery (University College London)

Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar

Chen, L., Li, J., Chen, Y., Deng, Q., Shen, J., Liang, X., & Jiang, L. (2017) · Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 · doi:10.23919/date.2017.7926952 · Cited by 245 · see citing works