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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |