Supplement 1

https://doi.org/10.60893/figshare.jap.30167791

journal contribution

posted on 2025-10-08, 12:08 authored by Murilo Neco Saraiva, Cleber Mendonca

This material briefly describes the ML algorithms used, the evaluation metrics, and the model optimization grid.

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1.
DOI - Is supplement to ASSESSING THE POTENTIAL OF MACHINE LEARNING FOR PREDICTING THE NONLINEAR REFRACTIVE INDEX OF GLASSES

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Physical sciences

Keywords

Machine learning Nonlinear refractive index Glass

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