Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles
Pellegrino F., Isopescu R., Pellutiè L., Sordello F., Rossi A.M., Ortel E., Martra G., Hodoroaba V-D., Maurino V.nanoparticles, titanium dioxide, size, shape, machine learning, synthesis
Document type | Article |
Journal title / Source | Scientific Reports |
Volume | 10 |
Issue | 1 |
Page numbers / Article number | 18910-1-11 |
Publisher's name | Springer Science and Business Media LLC |
Publication date | 2020-11 |
ISSN | 2045-2322 |
DOI | 10.1038/s41598-020-75967-w |
Language | English |