Symbolic regression: an alternative method to model the optical response of photonic biological and bio-inspired structures
In this contribution, we assess the performance of symbolic regression (SR) when used to model the optical response of biological and bio-inspired structures. To this end, we search for analytical closed-form expressions that model the reflectance spectra related to the <i>Tersina viridis</i> bird's plumage and the porous structure inspired on the <i>Cyphochilus insulanus</i> beetle. Our numerical results demonstrate the high prediction accuracy of the employed symbolic regression scheme. The retrieved models not only capture the dependency of the optical response on various relevant geometrical and illumination parameters, but they are also dimensionally homogeneous.
Authors
- Demetrio Macı́as (ORCID: https://orcid.org/0000-0002-6838-769X)
- Diana C. Skigin
- Alexandre Vial (ORCID: https://orcid.org/0000-0002-7701-0413)
- Hendrik Hölscher (ORCID: https://orcid.org/0000-0002-1033-1669)
- Marina E. Inchaussandague
- Julián Sierra-Vélez
Institutions
- Karlsruhe Institute of Technology (DE)
- Centre National de la Recherche Scientifique (FR)
- Université de Technologie de Troyes (FR)
- Universidad de Buenos Aires (AR)
- Instituto de Física La Plata (AR)
- Instituto de Física de Buenos Aires (AR)
Publication Details
- Journal
- Optics Letters
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1364/ol.541279
- Citations
- 2
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- Agence Nationale de la Recherche
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Universidad de Buenos Aires
- Secretaría de Ciencia y Técnica, Universidad de Buenos Aires