Improved Synaptic Behavior Under Identical Pulses Using AlO x /HfO 2 Bilayer RRAM Array for Neuromorphic Systems

Woo, Jiyong, Moon, Kibong, Song, Jeonghwan, Lee, Sangheon, Kwak, Myounghun, Park, Jaesung, Hwang, Hyunsang·2016·IEEE Electron Device Letters
DOI 10.1109/led.2016.2582859

Cited by (369)

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  12. Resistive switching of the HfOx/HfO2 bilayer heterostructure and its transmission characteristics as a synapse
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  13. Ion dynamics in metal halide perovskites for resistive-switching memory and neuromorphic memristors
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  16. Two-Terminal Structured Synaptic Device Using Ionic Electrochemical Reaction Mechanism for Neuromorphic System
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  19. Oxide-based filamentary RRAM for deep learning
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  20. Implementation of Neuro-Memristive Synapse for Long-and Short-Term Bio-Synaptic Plasticity
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  21. Tuning the analog synaptic properties of forming free SiO2 memristors by material engineering
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  22. 3D Stackable Synaptic Transistor for 3D Integrated Artificial Neural Networks.
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  27. Synaptic behaviour of TiO x /HfO2 RRAM enhanced by inserting ultrathin Al2O3 layer for neuromorphic computing
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  28. Multi-terminal ionic-gated low-power silicon nanowire synaptic transistors with dendritic functions for neuromorphic systems
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  29. Conductive-bridging random-access memories for emerging neuromorphic computing
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  30. Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance
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  31. Design Considerations of Selector Device in Cross-Point RRAM Array for Neuromorphic Computing
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  38. Enhancing the synaptic properties of low-power and forming-free HfOx/TaOy/HfOx resistive switching devices
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  42. HfO2/TiOx bilayer structure memristor with linear conductance tuning for high density memory and neuromorphic computing
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  43. Artificial synaptic transistors based on Schottky barrier height modulation using reduced graphene oxides
    Young‐Jun Park, Min‐Kyu Kim, Jang‐Sik Lee · 2020 · Carbon
  44. Impact of Pt embedded nanocrystals on the resistive switching and synaptic properties of forming free TiO2 – x/TiO2 – y-based bilayer structures
    Dionisis Sakellaropoulos, Panagiotis Bousoulas, D. Tsoukalas · 2019 · Journal of Applied Physics
  45. High-stability resistive switching memristor with high-retention memory window response for brain-inspired computing
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    S. Kim, Dongyeol Ju, Sungjun Kim · 2024 · Materials
  47. Optimizing linearity of weight updating in TaOx-based memristors by depression pulse scheme for neuromorphic computing
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  48. Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices
    Tommaso Zanotti, Francesco Maria Puglisi, Paolo Pavan · 2020 · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
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  50. Energy Efficient Learning With Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks
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  51. Improved switching and synapse characteristics using PEALD SiO2 thin film in Cu/SiO2/ZrO2/Pt device
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  52. Architectural Design of 3D NAND Flash based Compute-in-Memory for Inference Engine
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  53. Framework for In-Memory Computing Based on Memristor and Memcapacitor for On-Chip Training
    Singh, Ankur, Lee, Byung-Geun · 2023 · IEEE Access
  54. The nonvolatile resistive switching memristor with Co-Ni layered double hydroxide hybrid nanosheets and its application as a artificial synapse
    Yanmei Sun, Nian He, Dianzhong Wen, Fengyun Sun · 2021 · Applied Surface Science
  55. Cu-ion-actuated three-terminal neuromorphic synaptic devices based on binary metal-oxide electrolyte and channel
    He Kang, Ji-Yong Woo · 2021 · Applied Physics Letters
  56. Memristor-Based Neuromorphic Hardware Improvement for Privacy-Preserving ANN
    Jingyan Fu, Zhiheng Liao, Jinhui Wang · 2019 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  57. Evaluation of Radiation Effects in RRAM-Based Neuromorphic Computing System for Inference
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  58. Low-Power (1T1N) Skyrmionic Synapses for Spiking Neuromorphic Systems
    Tinish Bhattacharya, Sai Li, Yang-Qi Huang, K. Wang, Wei-Sheng Zhao, M. Suri · 2018 · IEEE Access
  59. HfAlOx-based optical ferroelectric memristor with transparent electrode for RGB color image classification via physical reservoir
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  60. Li-Ion Doped Artificial Synaptic Memristor for Highly Linear Neuromorphic Computing
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  61. Two- and three-terminal HfO 2 -based multilevel resistive memories for neuromorphic analog synaptic elements
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  62. Ultrathin HfO 2 /Al 2 O 3 bilayer based reliable 1T1R RRAM electronic synapses with low power consumption for neuromorphic computing
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  63. Electrochemical anodic oxidation assisted fabrication of memristors
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  64. Doping Modulated Ion Hopping in Tantalum Oxide Based Resistive Switching Memory for Linear and Stable Switching Dynamics
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  65. MoTe2-based low energy consumption artificial synapse for neuromorphic behavior and decimal arithmetic
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  73. A Highly Linear Neuromorphic Synaptic Device Based on Regulated Charge Trap/Detrap
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  74. Training fully connected networks with resistive memories: impact of device failures
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  76. Enhanced synaptic characteristics of H x WO 3 -based neuromorphic devices, achieved by current pulse control, for artificial neural networks
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  79. Alleviating Conductance Nonlinearity via Pulse Shape Designs in TaOx Memristive Synapses
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  80. Thermal Stability of HfOx-Based Resistive Memory Array: A Temperature Coefficient Study
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  82. Enhanced Synaptic Features of ZnO/TaOx Bilayer Invisible Memristor for Brain-Inspired Computing
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  83. Linearly potentiated synaptic weight modulation at nanoscale in a highly stable two-terminal memristor
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  84. Enhancing Short-Term Plasticity by Inserting a Thin TiO2 Layer in WOx-Based Resistive Switching Memory
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  85. Two-Step Read Scheme in One-Selector and One-RRAM Crossbar-Based Neural Network for Improved Inference Robustness
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  86. PAWN: Programmed Analog Weights for Non-Linearity Optimization in Memristor-Based Neuromorphic Computing System
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  87. Freely switching between ferroelectric and resistive switching in Hf_0.5Zr_0.5O_2 films and its application on high accuracy on-chip deep neural networks
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  88. Non-volatile memory characteristics of a Ti/HfO2/Pt synaptic device with a crossbar array structure
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  93. Impact of Ta/Ti electrodes on linearities of TaOx-based resistive random-access memories for neuromorphic computing
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  94. Circuit Reliability Analysis of RRAM-based Logic-in-Memory Crossbar Architectures Including Line Parasitic Effects, Variability, and Random Telegraph Noise
    Tommaso Zanotti, Francesco Maria Puglisi, Paolo Pavan · 2020 · IEEE International Reliability Physics Symposium proceedings
  95. Linear Optimization for Memristive Device in Neuromorphic Hardware
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