Exploring potential of Turing pattern classification through convolution maps

Jaemin Shin, Junyoung Park, Minhwan Ji, Seunggyu Lee

Open source

DOI: 10.1038/s41598-025-32911-0
Published: 2025-12-19
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-32911-0,
  title = {Exploring potential of Turing pattern classification through convolution maps},
  author = {Jaemin Shin and Junyoung Park and Minhwan Ji and Seunggyu Lee},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-32911-0},
  url = {https://doi.org/10.1038/s41598-025-32911-0}
}

RIS

TY  - JOUR
TI  - Exploring potential of Turing pattern classification through convolution maps
AU  - Jaemin Shin
AU  - Junyoung Park
AU  - Minhwan Ji
AU  - Seunggyu Lee
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-32911-0
UR  - https://doi.org/10.1038/s41598-025-32911-0
ER  -

APA

Shin, J., Park, J., Ji, M., & Lee, S. (2025). Exploring potential of Turing pattern classification through convolution maps. Scientific Reports. https://doi.org/10.1038/s41598-025-32911-0

Source records

crossref · retrieved 2026-09-25T18:40:08.362Z