In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective

Renrui Fang, Woyu Zhang, Kuan Ren, Peiwen Zhang, Xiaoxin Xu, Zhongrui Wang, Dashan Shang

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DOI: 10.1088/2752-5724/accd87
Published: 2023-05-19
Container: Materials Futures
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2752-5724/accd87,
  title = {In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective},
  author = {Renrui Fang and Woyu Zhang and Kuan Ren and Peiwen Zhang and Xiaoxin Xu and Zhongrui Wang and Dashan Shang},
  year = {2023},
  journal = {Materials Futures},
  doi = {10.1088/2752-5724/accd87},
  url = {https://doi.org/10.1088/2752-5724/accd87}
}

RIS

TY  - JOUR
TI  - In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective
AU  - Renrui Fang
AU  - Woyu Zhang
AU  - Kuan Ren
AU  - Peiwen Zhang
AU  - Xiaoxin Xu
AU  - Zhongrui Wang
AU  - Dashan Shang
PY  - 2023
JO  - Materials Futures
DO  - 10.1088/2752-5724/accd87
UR  - https://doi.org/10.1088/2752-5724/accd87
ER  -

APA

Fang, R., Zhang, W., Ren, K., Zhang, P., Xu, X., Wang, Z., & Shang, D. (2023). In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective. Materials Futures. https://doi.org/10.1088/2752-5724/accd87

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crossref · retrieved 2026-11-10T13:51:05.705Z