Improved Reservoir Computing by Carbon Nanotube Network with Polyoxometalate Decoration-Reference-Cited by-同舟云学术

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Improved Reservoir Computing by Carbon Nanotube Network with Polyoxometalate Decoration

Published:2021-04-25 Issue: Volume: Page:
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Container-title:2021 IEEE 16th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)
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Author:

Wu Shuo,Zhou Wenli,Wen Kaiqiang,Li Chengzhu,Gong Qingfeng

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9451202/9451223/09451290.pdf?arnumber=9451290

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tracking of Dual Gas Concentration Using Carbon Nanotubes Based Reservoir Computing;2024 IEEE 3rd International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS);2024-03-02

2. Harnessing synthetic active particles for physical reservoir computing;Nature Communications;2024-01-29

3. Functional Materials for Memristor‐Based Reservoir Computing: Dynamics and Applications;Advanced Functional Materials;2023-06-23

4. Polyoxometalate Accelerated Cationic Migration for Reservoir Computing;Advanced Functional Materials;2022-08-25

5. In-materio computing in random networks of carbon nanotubes complexed with chemically dynamic molecules: a review;Neuromorphic Computing and Engineering;2022-05-20

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