Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO(2) nanoparticles

In the present work a series of design rules are developed in order to tune the morphology of TiO(2) nanoparticles through hydrothermal process. Through a careful experimental design, the influence of relevant process parameters on the synthesis outcome are studied, reaching to the develop predictiv...

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Detalles Bibliográficos
Autores principales: Pellegrino, Francesco, Isopescu, Raluca, Pellutiè, Letizia, Sordello, Fabrizio, Rossi, Andrea M., Ortel, Erik, Martra, Gianmario, Hodoroaba, Vasile-Dan, Maurino, Valter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609603/
https://www.ncbi.nlm.nih.gov/pubmed/33144623
http://dx.doi.org/10.1038/s41598-020-75967-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609603/
https://www.ncbi.nlm.nih.gov/pubmed/33144623
http://dx.doi.org/10.1038/s41598-020-75967-w

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