Deep-learning-empowered programmable topolectrical circuits
- DOI
- 10.1038/s41467-026-72901-y
- Published
- 2026-05-07
- 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/s41467-026-72901-y,
title = {Deep-learning-empowered programmable topolectrical circuits},
author = {Hao Jia and Shanglin Yang and Jiajun He and Shuo Liu and Haoxiang Chen and Ce Shang and Shaojie Ma and Peng Han and Ching Hua Lee and Zhen Gao and Yun Lai and Tie Jun Cui},
year = {2026},
journal = {Nature Communications},
doi = {10.1038/s41467-026-72901-y},
url = {https://doi.org/10.1038/s41467-026-72901-y}
}RIS
TY - JOUR TI - Deep-learning-empowered programmable topolectrical circuits AU - Hao Jia AU - Shanglin Yang AU - Jiajun He AU - Shuo Liu AU - Haoxiang Chen AU - Ce Shang AU - Shaojie Ma AU - Peng Han AU - Ching Hua Lee AU - Zhen Gao AU - Yun Lai AU - Tie Jun Cui PY - 2026 JO - Nature Communications DO - 10.1038/s41467-026-72901-y UR - https://doi.org/10.1038/s41467-026-72901-y ER -
APA
Jia, H., Yang, S., He, J., Liu, S., Chen, H., Shang, C., Ma, S., Han, P., Lee, C. H., Gao, Z., Lai, Y., & Cui, T. J. (2026). Deep-learning-empowered programmable topolectrical circuits. Nature Communications. https://doi.org/10.1038/s41467-026-72901-y
Source records
- crossref · retrieved 2026-09-26T01:56:23.354Z