Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing

Chunxiao Jiang, Jiawei Wang, Zhoujie Pan, Yanming Liu, Yuwan Hong, He Tian, Linling Kuang, Jianhua Lu

Open source

DOI: 10.1038/s41467-026-77169-w
Published: 2026-09-03
Container: Nature Communications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-77169-w,
  title = {Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing},
  author = {Chunxiao Jiang and Jiawei Wang and Zhoujie Pan and Yanming Liu and Yuwan Hong and He Tian and Linling Kuang and Jianhua Lu},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-77169-w},
  url = {https://doi.org/10.1038/s41467-026-77169-w}
}

RIS

TY  - JOUR
TI  - Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing
AU  - Chunxiao Jiang
AU  - Jiawei Wang
AU  - Zhoujie Pan
AU  - Yanming Liu
AU  - Yuwan Hong
AU  - He Tian
AU  - Linling Kuang
AU  - Jianhua Lu
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-77169-w
UR  - https://doi.org/10.1038/s41467-026-77169-w
ER  -

APA

Jiang, C., Wang, J., Pan, Z., Liu, Y., Hong, Y., Tian, H., Kuang, L., & Lu, J. (2026). Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing. Nature Communications. https://doi.org/10.1038/s41467-026-77169-w

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crossref · retrieved 2026-11-10T14:37:17.430Z