Energy Efficient Hybrid Reservoir Computing Using Hf(0.5)Zr(0.5)O(2) Ferroelectric Thin-Film Transistors with an Integrated Optically and Electrically Synaptic Functions.

Lee S, An G, Kim D, Lee H, Kim S, Kim TH

Open source

DOI
10.1002/smll.202501276
Published
2025 Aug
Container
Small (Weinheim an der Bergstrasse, Germany)
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1002/smll.202501276,
  title = {Energy Efficient Hybrid Reservoir Computing Using Hf(0.5)Zr(0.5)O(2) Ferroelectric Thin-Film Transistors with an Integrated Optically and Electrically Synaptic Functions.},
  author = {Lee S and An G and Kim D and Lee H and Kim S and Kim TH},
  year = {2025},
  journal = {Small (Weinheim an der Bergstrasse, Germany)},
  doi = {10.1002/smll.202501276},
  url = {https://doi.org/10.1002/smll.202501276}
}

RIS

TY  - JOUR
TI  - Energy Efficient Hybrid Reservoir Computing Using Hf(0.5)Zr(0.5)O(2) Ferroelectric Thin-Film Transistors with an Integrated Optically and Electrically Synaptic Functions.
AU  - Lee S
AU  - An G
AU  - Kim D
AU  - Lee H
AU  - Kim S
AU  - Kim TH
PY  - 2025
JO  - Small (Weinheim an der Bergstrasse, Germany)
DO  - 10.1002/smll.202501276
UR  - https://doi.org/10.1002/smll.202501276
ER  - 

APA

S, L., G, A., D, K., H, L., S, K., & TH, K. (2025). Energy Efficient Hybrid Reservoir Computing Using Hf(0.5)Zr(0.5)O(2) Ferroelectric Thin-Film Transistors with an Integrated Optically and Electrically Synaptic Functions.. Small (Weinheim an der Bergstrasse, Germany). https://doi.org/10.1002/smll.202501276

Source records