RRAM-Based Neuromorphic Devices for Artificial-Intelligence Hardware: Device Physics, Materials, Processing, and Packaging

Sung Gyu Pyo

Open source

DOI
10.3390/mi17091032
Published
2026-08-29
Container
Micromachines
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 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:10.3390/mi17091032,
  title = {RRAM-Based Neuromorphic Devices for Artificial-Intelligence Hardware: Device Physics, Materials, Processing, and Packaging},
  author = {Sung Gyu Pyo},
  year = {2026},
  journal = {Micromachines},
  doi = {10.3390/mi17091032},
  url = {https://doi.org/10.3390/mi17091032}
}

RIS

TY  - JOUR
TI  - RRAM-Based Neuromorphic Devices for Artificial-Intelligence Hardware: Device Physics, Materials, Processing, and Packaging
AU  - Sung Gyu Pyo
PY  - 2026
JO  - Micromachines
DO  - 10.3390/mi17091032
UR  - https://doi.org/10.3390/mi17091032
ER  - 

APA

Pyo, S. G. (2026). RRAM-Based Neuromorphic Devices for Artificial-Intelligence Hardware: Device Physics, Materials, Processing, and Packaging. Micromachines. https://doi.org/10.3390/mi17091032

Source records