Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams

Hao Zheng, Hossein Mofatteh, Marton Hablicsek, Abdolhamid Akbarzadeh, Masoud Akbarzadeh

Open source

DOI: 10.1002/advs.202207635
Published: 2023-04-29
Container: Advanced Science
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/advs.202207635,
  title = {Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams},
  author = {Hao Zheng and Hossein Mofatteh and Marton Hablicsek and Abdolhamid Akbarzadeh and Masoud Akbarzadeh},
  year = {2023},
  journal = {Advanced Science},
  doi = {10.1002/advs.202207635},
  url = {https://doi.org/10.1002/advs.202207635}
}

RIS

TY  - JOUR
TI  - Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams
AU  - Hao Zheng
AU  - Hossein Mofatteh
AU  - Marton Hablicsek
AU  - Abdolhamid Akbarzadeh
AU  - Masoud Akbarzadeh
PY  - 2023
JO  - Advanced Science
DO  - 10.1002/advs.202207635
UR  - https://doi.org/10.1002/advs.202207635
ER  -

APA

Zheng, H., Mofatteh, H., Hablicsek, M., Akbarzadeh, A., & Akbarzadeh, M. (2023). Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams. Advanced Science. https://doi.org/10.1002/advs.202207635

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crossref · retrieved 2026-09-24T20:38:25.831Z