Open AccessMachine learning for predicting the average length of vertically aligned TiO2 nanotubes
Author(s) -
Jesús Caro-Gutiérrez,
Félix F. González-Navarro,
Mario Curiel,
Oscar PerezLanderos,
Benjamín Valdez,
N. Nedev
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0012410
Subject(s) - support vector machine , materials science , ellipsometry , reflection (computer programming) , dimension (graph theory) , scanning electron microscope , computer science , linear regression , intensity (physics) , process (computing) , optics , artificial intelligence , machine learning , nanotechnology , mathematics , thin film , composite material , physics , pure mathematics , programming language , operating system
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