Experimental data for "Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV-Vis Extinction Spectra"

Experimental data for "Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV-Vis Extinction Spectra"

Testing data (experimental data) for neural networks published in preprint https://doi.org/10.48550/arXiv.2404.10891 The UV-VIS-NIR spectral data was also used in the dissertation of Nadzeya Khinevch, titled "Two-dimensional structures of nanoparticles for elements of surface-enhanced Raman sca...

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Bibliographische Detailangaben
Hauptverfasser: Klinavičius, Tomas, Khinevich, Nadzeya, Tamulevičienė, Asta, Vidal, Loic, Tamulevičius, Sigitas, Tamulevičius, Tomas
Format: Dataset
Sprache:eng
Schlagworte:
deep neural networks
effective medium theory
Mie theory
nanoparticles
plasmonics
silver
size distribution
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Zusammenfassung:Testing data (experimental data) for neural networks published in preprint https://doi.org/10.48550/arXiv.2404.10891 The UV-VIS-NIR spectral data was also used in the dissertation of Nadzeya Khinevch, titled "Two-dimensional structures of nanoparticles for elements of surface-enhanced Raman scattering substrates". Emails of the corresponding authors: Tomas Klinavičius tomas.klinavicius@ktu.lt Tomas Tamulevičius tomas.tamulevicius@ktu.lt
DOI:10.5281/zenodo.11091436