Stochastic memristive devices for computing and neuromorphic applications

Cited by (307)

Items 101–200 of 307

1. Realistic Hodgkin–Huxley Axons Using Stochastic Behavior of Memristors
   Mohammad Saeed Feali, Arash Ahmadi · 2016 · Neural Processing Letters
2. Forgetting memristor based neuromorphic system for pattern training and recognition
   Peijian Zhang, Chuandong Li, Tingwen Huang, Ling Chen, Yiran Chen · 2016 · Neurocomputing
3. Voltage-Driven Hysteresis Model for Resistive Switching: SPICE Modeling and Circuit Applications
   G. A. Patterson, Jordi Suñé, Enrique A. Miranda · 2017 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
4. Analogue pattern recognition with stochastic switching binary CMOS-integrated memristive devices
   Finn Zahari, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, H. Kohlstedt, Christian Wenger, Martin Ziegler · 2020 · Scientific Reports
5. Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns
   Christopher Bengel, Felix Cüppers, Melika Payvand, Regina Dittmann, Rainer M. Waser, Susanne Hoffmann‐Eifert, Stephan Menzel · 2021 · Frontiers in Neuroscience
6. The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design
   Miao Hu, Yu Wang, Qinru Qiu, Yiran Chen, Hai Helen Li · 2014 · Asia and South Pacific Design Automation Conference (ASP-DAC)
7. An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing
   Ning Ge, Jung Ho Yoon, Miao Hu, Emmanuelle Merced Grafals, Noraica Dávila, John Paul Strachan, Zhiyong Li, Helen Holder, Qiangfei Xia, Richard Stanley Williams et al. · 2017 · Scientific Reports
8. Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites
   Tianli Jin, Wei Liang Gan, Funan Tan, N R Sernicola, Wen Siang Lew, S. N. Piramanayagam · 2019 · Journal of Physics D Applied Physics
9. Mixed Ionic‐Electronic Charge Transport in Layered Black‐Phosphorus for Low‐Power Memory
   Taimur Ahmed, Sruthi Kuriakose, Sherif Abdulkader Tawfik, Edwin Lawrence Harrop Mayes, Aishani Mazumder, Sivacarendran Balendhran, Michelle J. S. Spencer, Deji Akinwande, Madhu C. Bhaskaran, Sharath Sriram et al. · 2021 · Advanced Functional Materials
10. Fabrication of zinc stannate based all-printed resistive switching device
    Ghayas Uddin Siddiqui, J. Ali, Yang-Hoi Doh, Kyung Hyun Choi · 2015 · Materials Letters
11. Electrical Performance of Large-Area Y2O3 Memristive Crossbar Array With Ultralow C2C Variability
    Sanjay Kumar, Ajay Agarwal, Shaibal Mukherjee · 2022 · IEEE Transactions on Electron Devices
12. Survey of Stochastic-Based Computation Paradigms
    Mohammed Alawad, Mingjie Lin · 2016 · IEEE Transactions on Emerging Topics in Computing
13. Ultralow Powered 2D MoS2-Based Memristive Crossbar Array for Synaptic Applications
    Saurabh Kumar Yadav, Chandrabhan Patel, Manoj K. Rajbhar, Mayank Dubey, Dhananjay D. Kumbhar, Tukaram Dattatray Dongale, Vishal Khandelwal, Saravanan Yuvaraja, Xiaohang Li, Shaibal Mukherjee · 2025 · ACS Applied Materials & Interfaces
14. Towards data reliable crossbar-based memristive memories
    Amirali Ghofrani, Miguel Ángel Lastras-Montaño, Kwang-Ting Tim Cheng · 2013 · IEEE International Test Conference (ITC)
15. Recent trends in neuromorphic systems for non-von Neumann in materia computing and cognitive functionalities
    Indrajit Mondal, Rohit Attri, Tejaswini S. Rao, Bhupesh Yadav, Giridhar U. Kulkarni · 2024 · Applied Physics Reviews
16. OxRAM RNG Circuits Exploiting Multiple Undesirable Nanoscale Phenomena
    Shubham Sahay, Ashwani Kumar, Vivek Parmar, Manan Suri · 2017 · IEEE Transactions on Nanotechnology
17. Stimulated Ionic Telegraph Noise in Filamentary Memristive Devices
    Stefano Brivio, Jacopo Frascaroli, Erika Covi, Sabina Spiga · 2019 · Scientific Reports
18. Artificial neural networks based on memristive devices
    Vignesh Ravichandran, Can Li, Ali BanaGozar, J. Joshua Yang, Qiangfei Xia · 2018 · Science China Information Sciences
19. Resistive state relaxation time in ZrO2(Y)-based memristive devices under the influence of external noise
    M. N. Koryazhkina, Д. О. Филатов, V.A. Shishmakova, М. Е. Шенина, A. I. Belov, Ivan N. Antonov, Valentina E. Kotomina, Alexey N. Mikhaylov, Oleg N. Gorshkov, Агудов Николай Викторович et al. · 2022 · Chaos Solitons & Fractals
20. Inherent Stochastic Learning in CMOS-Integrated HfO2 Arrays for Neuromorphic Computing
    Christian Wenger, Finn Zahari, Mamathamba Kalishettyhalli Mahadevaiah, Eduardo Pérez, I. Beckers, H. Kohlstedt, Martin Ziegler · 2019 · IEEE Electron Device Letters
21. Strategies to Control the Relaxation Kinetics of Ag‐Based Diffusive Memristors and Implications for Device Operation
    Solomon Amsalu Chekol, Stephan Menzel, Rainer M. Waser, Susanne Hoffmann‐Eifert · 2022 · Advanced Electronic Materials
22. Electroforming-Free Y2O3Memristive Crossbar Array with Low Variability
    Sanjay Kumar, Mangal Das, Myo Than Htay, Sharath Sriram, Shaibal Mukherjee · 2022 · ACS Applied Electronic Materials
23. RM-NTT: An RRAM-Based Compute-in-Memory Number Theoretic Transform Accelerator
    Yongmo Park, Ziyu Wang, Sangmin Yoo, Wei Dong Lu · 2022 · IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
24. Self-organizing neuromorphic nanowire networks as stochastic dynamical systems
    Gianluca Milano, Fabio Michieletti, Davide Pilati, Carlo Ricciardi, Enrique Miranda · 2025 · Nature Communications
25. Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures
    Melika Payvand, Lorenz K. Müller, Giacomo Indiveri · 2018 · IEEE International Symposium on Circuits and Systems proceedings
26. Synaptic Weight States in a Locally Competitive Algorithm for Neuromorphic Memristive Hardware
    Walt Woods, Jens Bürger, Christof Teuscher · 2015 · IEEE Transactions on Nanotechnology
27. Pr x Ca 1 − x MnO 3 based stochastic neuron for Boltzmann machine to solve “maximum cut” problem
    Devesh Khilwani, Vineet Moghe, Sandip Lashkare, Vivek Saraswat, Pankaj Kumbhare, Maryam Shojaei Baghini, Srivatsava Jandhyala, Sreenivas Subramoney, Udayan Ganguly · 2019 · APL Materials
28. Spin-Orbit Torque Devices for Hardware Security: From Deterministic to Probabilistic Regime
    Satwik Patnaik, Nikhil Rangarajan, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja · 2019 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
29. Solution-Processed Formation of DNA-Origami-Supported Polyoxometalate Multi-Level Switches with Countercation-Controlled Conductance Tunability
    Eric Vogelsberg, Marco Moors, Anastasia S. Sorokina, Dmitry A. Ryndyk, Sebastian Schmitz, Jessica S. Freitag, Anastasia V. Subbotina, Thomas Heine, Bernd Abel, Kirill Yu. Monakhov · 2023 · Chemistry of Materials
30. A novel structure ZnO-Fe-ZnO thin film memristor
    Y.P. Santos, Eduardo Valença, R. Machado, M.A. Macêdo · 2018 · Materials Science in Semiconductor Processing
31. A Monolithic Stochastic Computing Architecture for Energy Efficient Arithmetic
    Harikrishnan Ravichandran, Yikai Zheng, Thomas F. Schranghamer, Nicholas Trainor, Joan Marie Redwing, Saptarshi Das · 2022 · Advanced Materials
32. Hard and soft excitation of oscillations in memristor-based oscillators with a line of equilibria
    Корнеев Иван Александрович, Т. Е. Вадивасова, В. В. Семенов · 2017 · Nonlinear Dynamics
33. True random number generation exploiting SET voltage variability in resistive RAM memory arrays
    J. Postel-Pellerin, Hussein Bazzi, H. Aziza, P. Canet, Mathieu Moreau, Vincenzo della Marca, Adnan Harb · 2019 · Non-Volatile Memory Technology Symposium
34. Double quantum dot memristor
    Ying Li, Gregory W. Holloway, Simon C. Benjamin, G. Andrew D. Briggs, Jonathan Baugh, Jan A. Mol · 2017 · Physical review. B./Physical review. B
35. A review of MXene memristors and their applications
    Mrinal Kanti Hota, Sebastian Matias Pazos, Mario Lanza, Husam Niman Alshareef · 2025 · Materials Science and Engineering R Reports
36. Dynamic resistive switching devices for neuromorphic computing
    Yuting Wu, Xinxin Wang, Wei Dong Lu · 2021 · Semiconductor Science and Technology
37. Reliable Memristive Switching Empowered by Ag/NiO/W ReRAM Configuration for Multi‐Level Non‐Volatile Memory Applications
    Manvendra Singh Chauhan, Sumit Kumar Choudhary, Satinder Kumar Sharma · 2024 · Advanced Electronic Materials
38. Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning
    Deming Zhang, Lang Zeng, Yuanzhuo Qu, Youguang, Zhang Mengxing Wang, Weisheng S. Zhao, Tianqi Tang, Yu Wang · 2015 · IEEE International Symposium on Circuits and Systems proceedings
39. Inherently stochastic spiking neurons for probabilistic neural computation
    Maruan Al-Shedivat, Rawan Naous, Emre Ozgur Neftci, Gert Cauwenberghs, Khaled Nabil Salama · 2015 · International IEEE/EMBS Conference on Neural Engineering
40. Multiprotocol-induced plasticity in artificial synapses
    Vladimir Kornijčuk, Omid Kavehei, Hyungkwang Lim, Jun Yeong Seok, Seong Keun Kim, Inho Kim, Wook-Seong Lee, Byung Joon Choi, Doo Seok Jeong · 2014 · Nanoscale
41. Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses
    Wu Xin, Vishal Saxena · 2018 · IEEE Transactions on Nanotechnology
42. Lightweight error-tolerant edge detection using memristor-enabled stochastic computing
    Lekai Song, Pengyu Liu, Jingfang Pei, Liu Yang, Songwei Liu, Shengbo Wang, Leonard W. T. Ng, Tawfique Hasan, Kong‐Pang Pun, Shuo Gao et al. · 2025 · Nature Communications
43. 3-D Physical Electro-Thermal Modeling of Nanoscale Y 2 O 3 Memristors for Synaptic Application
    Sanjay Kumar, Mohit Kumar Gautam, Gurpreet Singh Gill, Shaibal Mukherjee · 2022 · IEEE Transactions on Electron Devices
44. Energy-Efficient Computing With Probabilistic Magnetic Bits—Performance Modeling and Comparison Against Probabilistic CMOS Logic
    Nikhil Rangarajan, Arun Parthasarathy, Nickvash Kani, Shaloo Rakheja · 2017 · IEEE Transactions on Magnetics
45. Probabilistic memristive networks: Application of a master equation to networks of binary ReRAM cells
    Vincent J. Dowling, V. A. Slipko, Yuriy V. Pershin · 2020 · Chaos Solitons & Fractals
46. Physically transient random number generators based on flexible carbon nanotube composite threshold switching
    Yanmei Sun, Dianzhong Wen · 2020 · Journal of Alloys and Compounds
47. Unraveling the Roles of Switching and Relaxation Times in Volatile Electrochemical Memristors to Mimic Neuromorphic Dynamical Features
    Mrinmoy Dutta, Stefano Brivio, Sabina Spiga · 2024 · Advanced Electronic Materials
48. Fault tolerant adaptive write schemes for improving endurance and reliability of memristor memories
    Venkata Kiran Kumar Ravi, S. R. S. Prabaharan · 2018 · AEU - International Journal of Electronics and Communications
49. Comparison of the Electrical Response of Cu and Ag Ion-Conducting SDC Memristors Over the Temperature Range 6 K to 300 K
    Kolton Drake, Tonglin Lu, Md. Kamrul Hassan Majumdar, Kristy A. Campbell · 2019 · Micromachines
50. Fabrication of graphene-nanoflake/poly(4-vinylphenol) polymer nanocomposite thin film by electrohydrodynamic atomization and its application as flexible resistive switching device
    Kyung Hyun Choi, J. Ali, Kyoung Hoan Na · 2015 · Physica B Condensed Matter
51. Tolerance of intrinsic device variation in fuzzy restricted Boltzmann machine network based on memristive nano-synapses
    Teng Zhang, Minghui Yin, Xiayan Lu, Yimao Cai, Yuchao Yang, Ru Huang · 2017 · Nano Futures
52. Live demonstration: A versatile, low-cost platform for testing large ReRAM cross-bar arrays
    Alexander Serb, Radu Berdan, Ali Khiat, Christos Papavassiliou, Themis Prodromakis · 2014 · IEEE International Symposium on Circuits and Systems proceedings
53. Anticipation of digital patterns
    Karlheinz Ochs, Martin Ziegler, Eloy Hernandez‐Guevara, Enver Solan, Marina Ignatov, Mirko Hansen, Mahal Singh Gill, H. Kohlstedt · 2017 · International Journal of Circuit Theory and Applications
54. Robust neuromorphic computing in the presence of process variation
    Ali BanaGozar, Mohammad Ali Maleki, Mehdi Kamal, Ali Afzali‐Kusha, Massoud Pedram · 2017 · Design, Automation, and Test in Europe
55. Crossover From Deterministic to Stochastic Nature of Resistive-Switching Statistics in a Tantalum Oxide Thin Film
    Yoshifumi Nishi, U. Böttger, Rainer M. Waser, Stephan Menzel · 2018 · IEEE Transactions on Electron Devices
56. Structural transition pathway and bipolar switching of the GeTe–Sb 2 Te 3 superlattice as interfacial phase-change memory
    Nobuki Inoue, Hisao Nakamura · 2018 · Faraday Discussions
57. A Physics-Based Compact Model of Stochastic Switching in Spin-Transfer Torque Magnetic Memory
    Roberto Carboni, Elena Vernocchi, Manzar Siddik, Jon Harms, Andy Lyle, Gurtej S. Sandhu, Daniele Ielmini · 2019 · IEEE Transactions on Electron Devices
58. Heterosynaptic Plasticity Emulated by Liquid Crystal–Carbon Nanotube Composites with Modulatory Interneurons
    Ik‐Jyae Kim, Min‐Kyu Kim, Youngjun Park, Jang‐Sik Lee · 2020 · ACS Applied Materials & Interfaces
59. Implication of unsafe writing on the MAGIC NOR gate
    Xi Jing Zhu, Hongchang Long, Zhiwei Li, Jietao Diao, Haijun Liu, Nan Li, Hui Xu · 2020 · Microelectronics Journal
60. Multifunctional Analog Resistance Switching of Si3N4-Based Memristors through Migration of Ag+ Ions and Formation of Si-Dangling Bonds
    Dongyang Li, Chunmei Li, Jinyong Wang, Ming Xia Xu, Jian Ma, Deen Gu, Fucai Liu, Yadong Jiang, Wei Li · 2022 · The Journal of Physical Chemistry Letters
61. Temporal information encoding in dynamic memristive devices
    Wen Ma, Lin Chen, Chao Du, Wei Dong Lu · 2015 · Applied Physics Letters
62. Memristor Device Overview
    Heba Abunahla, Baker S. Mohammad · 2017 · Analog circuits and signal processing/Analog circuits and signal processing series
63. Memcapacitive to Memristive Transition in Al/Y 2 O 3 /GZO Crossbar Array
    Sanjay Kumar, Mohit Kumar Gautam, Saurabh Kumar Yadav, Shaibal Mukherjee · 2023 · IEEE Transactions on Electron Devices
64. Hybrid VC-MTJ/CMOS non-volatile stochastic logic for efficient computing
    Shaodi Wang, Saptadeep Pal, Tianmu Li, Andrew Pan, Cécile Grèzes, Pedram Khalili Amiri, Kang L. Wang, Puneet Gupta · 2017 · Design, Automation, and Test in Europe
65. Exploiting Non-idealities of Resistive Switching Memories for Efficient Machine Learning
    Victor Yon, Amirali Amirsoleimani, Fabien Alibart, Roger G. Melko, Dominique Drouin, Yann Beilliard · 2022 · Frontiers in Electronics
66. Temperature Control of Diffusive Memristor Hysteresis and Artificial Neuron Spiking
    D. P. Pattnaik, Yury Ushakov, Zhaoxia Zhou, Pavel Borisov, Michael D. Cropper, U.W. Wijayantha, Alexander G. Balanov, Sergey E. Savel'ev · 2023 · Physical Review Applied
67. Skeleton-supported stochastic networks of organic memristive devices: Adaptations and learning
    Svetlana Erokhina, Vladimir Sorokin, Victor V Erokhin · 2015 · AIP Advances
68. Leveraging stochasticity in memristive synapses for efficient and reliable neuromorphic systems
    Hritom Das, Karan Patel, Rocco Febbo, Catherine D. Schuman, Garrett S. Rose · 2025 · npj Unconventional Computing
69. Highly scalable neuromorphic hardware with 1-bit stochastic nano-synapses
    Omid Kavehei, Efstratios Stan Skafidas · 2014 · IEEE International Symposium on Circuits and Systems proceedings
70. A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory
    Amirali Ghofrani, Miguel Ángel Lastras-Montaño, Siddharth Gaba, Melika Payvand, Wei Dong Lu, Luke S. Theogarajan, Kwang-Ting Tim Cheng · 2015 · ACM Journal on Emerging Technologies in Computing Systems
71. Hybrid CMOS/memristor crossbar structure for implementing hopfield neural network
    Mahdiyar Molahasani, Jafar Shamsi, Shahriar B. Shokouhi · 2020 · Analog Integrated Circuits and Signal Processing
72. Tailor-made synaptic dynamics based on memristive devices
    Christopher Bengel, Kaihua Zhang, Johannes Mohr, Tobias Ziegler, Stefan Wiefels, Rainer M. Waser, Dirk J. Wouters, Stephan Menzel · 2023 · Frontiers in Electronic Materials
73. Computational capacity and energy consumption of complex resistive switch networks
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74. Energy-efficient Design of MTJ-based Neural Networks with Stochastic Computing
    Ankit Mondal, Ankur Srivastava · 2019 · ACM Journal on Emerging Technologies in Computing Systems
75. Resistive switching memories
    S. Brivio, S. Menzel · 2020 · Elsevier eBooks
76. Phase-change memory
    Manuel Le Gallo, Abu Sebastian · 2020 · Elsevier eBooks
77. Stochastic artificial neuron based on Ovonic Threshold Switch (OTS) and its applications for Restricted Boltzmann Machine (RBM)
    Seongil Im, JinGyeong Hwang, Jae‐Seung Jeong, Hyejin Lee, Min Hyuk Park, Jeong Ho Cho, Hyunsu Ju, Suyoun Lee · 2024 · Chaos Solitons & Fractals
78. The Applications of NVM Technology in Hardware Security
    Chaofei Yang, Beiye Liu, Yandan Wang, Yiran Chen, Hai Helen Li, Xian Zhang, Guangyu Sun · 2016 · ACM Great Lakes Symposium on VLSI (GLSVLSI)
79. Approximation enhancement for stochastic Bayesian inference
    Joseph S. Friedman, Jacques Droulez A, Pierre Bessìère, Jorge Lobo, Damien Querlioz · 2017 · International Journal of Approximate Reasoning
80. A Seamless, Reconfigurable, and Highly Parallel In-Memory Stochastic Computing Approach With Resistive Random Access Memory Array
    Wensheng Shen, Peng Cheng Huang, Mengqi Fan, Yudi Zhao, Yulin Feng, Lifeng Liu, Xiaoyan Liu, Xing Zhang, Jinfeng Kang · 2020 · IEEE Transactions on Electron Devices
81. Electromechanical Emulator of Memristive Systems and Devices
    Shiva Asapu, Yuriy V. Pershin · 2015 · IEEE Transactions on Electron Devices
82. Role of an Interfacial Layer in Ta2O5‐Based Resistive Switching Devices for Improved Endurance and Reliable Multibit Operation
    Dong Kyu Lee, Gun Hwan Kim, Hyunchul Sohn, Min Yang · 2019 · physica status solidi (RRL) - Rapid Research Letters
83. Toward large-scale access-transistor-free memristive crossbars
    Amirali Ghofrani, Miguel Ángel Lastras-Montaño, Kwang-Ting Tim Cheng · 2015 · Asia and South Pacific Design Automation Conference (ASP-DAC)
84. Exploring resistive switching in poly(4-vinylphenol)–graphene nano-composite films
    Kyung Hyun Choi, J. Ali, Yang Hoi Doh · 2015 · Japanese Journal of Applied Physics
85. Analogue neuro-memristive convolutional dropout nets
    Olga Krestinskaya, Alex Pappachen James · 2020 · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
86. Stochastic synaptic plasticity with memristor crossbar arrays
    Rawan Naous, Maruan Al-Shedivat, Emre Ozgur Neftci, Gert Cauwenberghs, Khaled Nabil Salama · 2016 · IEEE International Symposium on Circuits and Systems proceedings
87. Efficient Hybrid CMOS/Memristor Implementation of Bidirectional Associative Memory Using Passive Weight Array
    Mahdiyar Molahasani, Shahriar B. Shokouhi, Seok‐Bum Ko · 2020 · Microelectronics Journal
88. A rate-adjustable true random number generator based on the stochastic delay of a TiN/NbOx/Pt memristor
    Ran Gu, Yi Sun, Yongzhou Wang, Wei Wang, Qingjiang Li · 2021 · AIP Advances
89. In-memory flow-based stochastic computing on memristor crossbars using bit-vector stochastic streams
    Sunny Raj, Dwaipayan Chakraborty, Sumit Kumar Jha · 2017 · IEEE International Conference on Nanotechnology (IEEE-NANO)
90. Hybrid CMOS-OxRAM RNG circuits
    Shubham Sahay, Manan Suri, Ashwani Kumar, Vivek Parmar · 2016 · IEEE International Conference on Nanotechnology (IEEE-NANO)
91. Abnormal resistive switching in electrodeposited Prussian White thin films
    Fabrício Luiz Faita, Lindiomar Borges de Avila, José Silva, Miguel H. Boratto, C.C. Plá Cid, Carlos F. O. Graeff, Maria J. M. Gomes, Christian K. Müller, Andre Avelino Pasa · 2021 · Journal of Alloys and Compounds
92. Reconstructive sensing circuit for complementary resistive switches-based crossbar memories
    Ertuğrul KARAKULAK, Reşat MUTLU, Erdem UÇAR · 2016 · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
93. Tutorial on Stochastic Computing
    Chris Winstead · 2019 · Springer eBooks
94. Applications of MXene-based memristors in neuromorphic intelligence applications
    Xiaojuan Lian, Yuelin Shi, Shiyu Li, Bingxin Ding, Chenfei Hua, Lei Wang · 2022 · Contemporary Physics
95. A method of generating random bits by using electronic bipolar memristor*
    Binbin Yang, Nuo Xu, Errui Zhou, Zhiwei Li, Cheng Li, Pinyun Yi, Liang Fang · 2020 · Chinese Physics B
96. Enhanced Retention Characteristics of Subthreshold Hf-ZnO Synaptic Pass-Transistors with Ultralow Power Consumption
    Danyoung Cha, Jeongseok Pi, Sungsik Lee · 2025 · ACS Applied Materials & Interfaces
97. On the Application of a Diffusive Memristor Compact Model to Neuromorphic Circuits
    Agustín Cisternas Ferri, Alan Rapoport, P. I. Fierens, German A. Patterson, Enrique A. Miranda, Jordi Suñé · 2019 · Materials
98. Enabling bio-plausible multi-level STDP using CMOS neurons with dendrites and bistable RRAMs
    Wu Xin, Vishal Saxena · 2017 · International Joint Conference on Neural Networks (IJCNN)
99. Effects of stochastic forces on the nonlinear behaviour of a silicon nitride membrane nanoelectromechanical resonator
    Srisaran Venkatachalam, Xin Zhou · 2023 · Nanotechnology
100. RRAM Solutions for Stochastic Computing
     Phil C. Knag, Siddharth Gaba, Wei Dong Lu, Zhengya Zhang · 2019 · Springer eBooks