A manufacturability-informed topology framework for AI-guided design of fibrous network materials

Yunhao Yang, Jing Ren, Leitao Cao, Xuankai Zhang, Chen Huang, Xinquan Jiang, Shengjie Ling

Open source

DOI: 10.1038/s41467-026-76045-x
Published: 2026-07-30
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/s41467-026-76045-x,
  title = {A manufacturability-informed topology framework for AI-guided design of fibrous network materials},
  author = {Yunhao Yang and Jing Ren and Leitao Cao and Xuankai Zhang and Chen Huang and Xinquan Jiang and Shengjie Ling},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-76045-x},
  url = {https://doi.org/10.1038/s41467-026-76045-x}
}

RIS

TY  - JOUR
TI  - A manufacturability-informed topology framework for AI-guided design of fibrous network materials
AU  - Yunhao Yang
AU  - Jing Ren
AU  - Leitao Cao
AU  - Xuankai Zhang
AU  - Chen Huang
AU  - Xinquan Jiang
AU  - Shengjie Ling
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-76045-x
UR  - https://doi.org/10.1038/s41467-026-76045-x
ER  -

APA

Yang, Y., Ren, J., Cao, L., Zhang, X., Huang, C., Jiang, X., & Ling, S. (2026). A manufacturability-informed topology framework for AI-guided design of fibrous network materials. Nature Communications. https://doi.org/10.1038/s41467-026-76045-x

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crossref · retrieved 2026-09-26T07:13:37.886Z