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

Zheng H, Mofatteh H, Hablicsek M, Akbarzadeh A, Akbarzadeh M

DOI: 10.1002/advs.202207635
Published: 2023 Jun
Container: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Publisher: Not recorded
Open access: yes

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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 = {Zheng H and Mofatteh H and Hablicsek M and Akbarzadeh A and Akbarzadeh M},
  year = {2023},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  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  - Zheng H
AU  - Mofatteh H
AU  - Hablicsek M
AU  - Akbarzadeh A
AU  - Akbarzadeh M
PY  - 2023
JO  - Advanced science (Weinheim, Baden-Wurttemberg, Germany)
DO  - 10.1002/advs.202207635
UR  - https://doi.org/10.1002/advs.202207635
ER  -

APA

H, Z., H, M., M, H., A, A., & M, A. (2023). Dragonfly-Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). https://doi.org/10.1002/advs.202207635

Source records

pubmed · retrieved 2026-11-10T06:13:58.139Z