Feasibility of Machine Learning Algorithms for Predicting the Deformation of Anodic Titanium Films by Modulating Anodization Processes

This study aims to demonstrate the feasibility of applying eight machine learning algorithms to predict the classification of the surface characteristics of titanium oxide (TiO(2)) nanostructures with different anodization processes. We produced a total of 100 samples, and we assessed changes in TiO...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Sung-Hee, Jeong, Chanyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956670/
https://www.ncbi.nlm.nih.gov/pubmed/33652708
http://dx.doi.org/10.3390/ma14051089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956670/
https://www.ncbi.nlm.nih.gov/pubmed/33652708
http://dx.doi.org/10.3390/ma14051089

Ejemplares similares