A compute-in-memory chip based on resistive random-access memory

Citations

Cited by:

1. Linfang Wang & Weizeng Li & Zhidao Zhou & Junjie An & Wang Ye & Zhi Li & Hanghang Gao & Hongyang Hu & Jing Liu & Xiaoming Chen & Ling Li & Qi Liu & Mingoo Seok & Chunmeng Dou & Ming Liu, 2025. "A near-threshold memristive computing-in-memory engine for edge intelligence," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
2. Thomas Ortner & Horst Petschenig & Athanasios Vasilopoulos & Roland Renner & Špela Brglez & Thomas Limbacher & Enrique Piñero & Alejandro Linares-Barranco & Angeliki Pantazi & Robert Legenstein, 2025. "Rapid learning with phase-change memory-based in-memory computing through learning-to-learn," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
3. Guobin Zhang & Xuemeng Fan & Jie Wang & Zijian Wang & Zhejia Zhang & Pengtao Li & Yitao Ma & Kejie Huang & Bin Yu & Qing Wan & Xiangshui Miao & Yishu Zhang, 2025. "Self-rectifying memristors with high rectification ratio for attack-resilient autonomous driving systems," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
4. Shaochuan Chen & Zhen Yang & Heinrich Hartmann & Astrid Besmehn & Yuchao Yang & Ilia Valov, 2025. "Electrochemical ohmic memristors for continual learning," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
5. Peng Chen & Fenghao Liu & Peng Lin & Peihong Li & Yu Xiao & Bihua Zhang & Gang Pan, 2023. "Open-loop analog programmable electrochemical memory array," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
6. Han Zhao & Zhengwu Liu & Jianshi Tang & Bin Gao & Qi Qin & Jiaming Li & Ying Zhou & Peng Yao & Yue Xi & Yudeng Lin & He Qian & Huaqiang Wu, 2023. "Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
7. Thomas Dalgaty & Filippo Moro & Yiğit Demirağ & Alessio Pra & Giacomo Indiveri & Elisa Vianello & Melika Payvand, 2024. "Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
8. Malte J. Rasch & Fabio Carta & Omobayode Fagbohungbe & Tayfun Gokmen, 2024. "Fast and robust analog in-memory deep neural network training," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
9. Xiangjin Wu & Asir Intisar Khan & Hengyuan Lee & Chen-Feng Hsu & Huairuo Zhang & Heshan Yu & Neel Roy & Albert V. Davydov & Ichiro Takeuchi & Xinyu Bao & H.-S. Philip Wong & Eric Pop, 2024. "Novel nanocomposite-superlattices for low energy and high stability nanoscale phase-change memory," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
10. Ruihua Yu & Ze Wang & Qi Liu & Bin Gao & Zhenqi Hao & Tao Guo & Sanchuan Ding & Junyang Zhang & Qi Qin & Dong Wu & Peng Yao & Qingtian Zhang & Jianshi Tang & He Qian & Huaqiang Wu, 2025. "A full-stack memristor-based computation-in-memory system with software-hardware co-development," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
11. Fernando Aguirre & Abu Sebastian & Manuel Gallo & Wenhao Song & Tong Wang & J. Joshua Yang & Wei Lu & Meng-Fan Chang & Daniele Ielmini & Yuchao Yang & Adnan Mehonic & Anthony Kenyon & Marco A. Villena, 2024. "Hardware implementation of memristor-based artificial neural networks," Nature Communications, Nature, vol. 15(1), pages 1-40, December.
12. Yijun Li & Jianshi Tang & Bin Gao & Jian Yao & Anjunyi Fan & Bonan Yan & Yuchao Yang & Yue Xi & Yuankun Li & Jiaming Li & Wen Sun & Yiwei Du & Zhengwu Liu & Qingtian Zhang & Song Qiu & Qingwen Li & He, 2023. "Monolithic three-dimensional integration of RRAM-based hybrid memory architecture for one-shot learning," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
13. Fadi Jebali & Atreya Majumdar & Clément Turck & Kamel-Eddine Harabi & Mathieu-Coumba Faye & Eloi Muhr & Jean-Pierre Walder & Oleksandr Bilousov & Amadéo Michaud & Elisa Vianello & Tifenn Hirtzlin & Fr, 2024. "Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
14. Djohan Bonnet & Tifenn Hirtzlin & Atreya Majumdar & Thomas Dalgaty & Eduardo Esmanhotto & Valentina Meli & Niccolo Castellani & Simon Martin & Jean-François Nodin & Guillaume Bourgeois & Jean-Michel P, 2023. "Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
15. Osama Yousuf & Brian D. Hoskins & Karthick Ramu & Mitchell Fream & William A. Borders & Advait Madhavan & Matthew W. Daniels & Andrew Dienstfrey & Jabez J. McClelland & Martin Lueker-Boden & Gina C. A, 2025. "Layer ensemble averaging for fault tolerance in memristive neural networks," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
16. Malte J. Rasch & Charles Mackin & Manuel Gallo & An Chen & Andrea Fasoli & Frédéric Odermatt & Ning Li & S. R. Nandakumar & Pritish Narayanan & Hsinyu Tsai & Geoffrey W. Burr & Abu Sebastian & Vijay N, 2023. "Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
17. Simone D’Agostino & Filippo Moro & Tristan Torchet & Yiğit Demirağ & Laurent Grenouillet & Niccolò Castellani & Giacomo Indiveri & Elisa Vianello & Melika Payvand, 2024. "DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
18. Hugh Greatorex & Ole Richter & Michele Mastella & Madison Cotteret & Philipp Klein & Maxime Fabre & Arianna Rubino & Willian Soares Girão & Junren Chen & Martin Ziegler & Laura Bégon-Lours & Giacomo I, 2025. "A neuromorphic processor with on-chip learning for beyond-CMOS device integration," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
19. Jaeseoung Park & Ashwani Kumar & Yucheng Zhou & Sangheon Oh & Jeong-Hoon Kim & Yuhan Shi & Soumil Jain & Gopabandhu Hota & Erbin Qiu & Amelie L. Nagle & Ivan K. Schuller & Catherine D. Schuman & Gert , 2024. "Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
20. Samarth Jain & Sifan Li & Haofei Zheng & Lingqi Li & Xuanyao Fong & Kah-Wee Ang, 2025. "Heterogeneous integration of 2D memristor arrays and silicon selectors for compute-in-memory hardware in convolutional neural networks," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
21. Tuo Shi & Lili Gao & Yang Tian & Shuangzhu Tang & Jinchang Liu & Yiqi Li & Ruixi Zhou & Shiyu Cui & Hui Zhang & Yu Li & Zuheng Wu & Xumeng Zhang & Taihao Li & Xiaobing Yan & Qi Liu, 2025. "Memristor-based feature learning for pattern classification," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
22. Lee, Geun Ho & Kim, Tae-Hyeon & Youn, Sangwook & Park, Jinwoo & Kim, Sungjoon & Kim, Hyungjin, 2023. "Low-fluctuation nonlinear model using incremental step pulse programming with memristive devices," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
23. Long Liu & Di Wang & Dandan Wang & Yan Sun & Huai Lin & Xiliang Gong & Yifan Zhang & Ruifeng Tang & Zhihong Mai & Zhipeng Hou & Yumeng Yang & Peng Li & Lan Wang & Qing Luo & Ling Li & Guozhong Xing & , 2024. "Domain wall magnetic tunnel junction-based artificial synapses and neurons for all-spin neuromorphic hardware," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
24. Yongxiang Li & Shiqing Wang & Ke Yang & Yuchao Yang & Zhong Sun, 2024. "An emergent attractor network in a passive resistive switching circuit," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
25. Jens E. Pedersen & Steven Abreu & Matthias Jobst & Gregor Lenz & Vittorio Fra & Felix Christian Bauer & Dylan Richard Muir & Peng Zhou & Bernhard Vogginger & Kade Heckel & Gianvito Urgese & Sadasivan , 2024. "Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
26. Mingrui Jiang & Keyi Shan & Chengping He & Can Li, 2023. "Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
27. Dylan Richard Muir & Sadique Sheik, 2025. "The road to commercial success for neuromorphic technologies," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
28. Shaocong Wang & Yizhao Gao & Yi Li & Woyu Zhang & Yifei Yu & Bo Wang & Ning Lin & Hegan Chen & Yue Zhang & Yang Jiang & Dingchen Wang & Jia Chen & Peng Dai & Hao Jiang & Peng Lin & Xumeng Zhang & Xiao, 2025. "Random resistive memory-based deep extreme point learning machine for unified visual processing," Nature Communications, Nature, vol. 16(1), pages 1-11, December.