Unveiling ECRAM switching mechanisms using variable temperature Hall measurements for accelerated AI computation
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-025-58004-0
Download full text from publisher
References listed on IDEAS
- Oki Gunawan & Seong Ryul Pae & Douglas M. Bishop & Yudistira Virgus & Jun Hong Noh & Nam Joong Jeon & Yun Seog Lee & Xiaoyan Shao & Teodor Todorov & David B. Mitzi & Byungha Shin, 2019. "Carrier-resolved photo-Hall effect," Nature, Nature, vol. 575(7781), pages 151-155, November.
- 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.
- S. Ambrogio & P. Narayanan & A. Okazaki & A. Fasoli & C. Mackin & K. Hosokawa & A. Nomura & T. Yasuda & A. Chen & A. Friz & M. Ishii & J. Luquin & Y. Kohda & N. Saulnier & K. Brew & S. Choi & I. Ok & , 2023. "An analog-AI chip for energy-efficient speech recognition and transcription," Nature, Nature, vol. 620(7975), pages 768-775, August.
- Xiahui Yao & Konstantin Klyukin & Wenjie Lu & Murat Onen & Seungchan Ryu & Dongha Kim & Nicolas Emond & Iradwikanari Waluyo & Adrian Hunt & Jesús A. del Alamo & Ju Li & Bilge Yildiz, 2020. "Protonic solid-state electrochemical synapse for physical neural networks," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
- 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.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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.
- 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.
- 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.
- Yuyan Zhu & Yang Wang & Xingchen Pang & Yongbo Jiang & Xiaoxian Liu & Qing Li & Zhen Wang & Chunsen Liu & Weida Hu & Peng Zhou, 2024. "Non-volatile 2D MoS2/black phosphorus heterojunction photodiodes in the near- to mid-infrared region," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- 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.
- Corey Lammie & Julian Büchel & Athanasios Vasilopoulos & Manuel Gallo & Abu Sebastian, 2025. "The inherent adversarial robustness of analog in-memory computing," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
- Yunping Bai & Yifu Xu & Shifan Chen & Xiaotian Zhu & Shuai Wang & Sirui Huang & Yuhang Song & Yixuan Zheng & Zhihui Liu & Sim Tan & Roberto Morandotti & Sai T. Chu & Brent E. Little & David J. Moss & , 2025. "TOPS-speed complex-valued convolutional accelerator for feature extraction and inference," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
- Fan Zhang & Yang Zhang & Linglong Li & Xing Mou & Huining Peng & Shengchun Shen & Meng Wang & Kunhong Xiao & Shuai-Hua Ji & Di Yi & Tianxiang Nan & Jianshi Tang & Pu Yu, 2023. "Nanoscale multistate resistive switching in WO3 through scanning probe induced proton evolution," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
- 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.
- Artem Musiienko & Fengjiu Yang & Thomas William Gries & Chiara Frasca & Dennis Friedrich & Amran Al-Ashouri & Elifnaz Sağlamkaya & Felix Lang & Danny Kojda & Yi-Teng Huang & Valerio Stacchini & Robert, 2024. "Resolving electron and hole transport properties in semiconductor materials by constant light-induced magneto transport," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
- Sanghyeon Choi & Jaeho Shin & Gwanyeong Park & Jung Sun Eo & Jingon Jang & J. Joshua Yang & Gunuk Wang, 2024. "3D-integrated multilayered physical reservoir array for learning and forecasting time-series information," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
- Han Xu & Dashan Shang & Qing Luo & Junjie An & Yue Li & Shuyu Wu & Zhihong Yao & Woyu Zhang & Xiaoxin Xu & Chunmeng Dou & Hao Jiang & Liyang Pan & Xumeng Zhang & Ming Wang & Zhongrui Wang & Jianshi Ta, 2023. "A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- 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.
- Junyi Yang & Ruibin Mao & Mingrui Jiang & Yichuan Cheng & Pao-Sheng Vincent Sun & Shuai Dong & Giacomo Pedretti & Xia Sheng & Jim Ignowski & Haoliang Li & Can Li & Arindam Basu, 2025. "Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58004-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.