2024
DOI: 10.1016/j.csbj.2024.02.010
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Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.

Irini Furxhi,
Lara Faccani,
Ilaria Zanoni
et al.
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Cited by 2 publications
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“…Supplementary algorithms have been implemented to predict KPI1 merging data from the literature [88] . By leveraging regression predictive models, it is feasible to forecast PCFs from synthesis parameters (such as synthesis duration, scale, and the choice of capping agent), thus enabling the rational design of NMs [89] . It is outside the scope of this study to outline the various models available in the literature for each dimension.…”
Section: Discussionmentioning
confidence: 99%
“…Supplementary algorithms have been implemented to predict KPI1 merging data from the literature [88] . By leveraging regression predictive models, it is feasible to forecast PCFs from synthesis parameters (such as synthesis duration, scale, and the choice of capping agent), thus enabling the rational design of NMs [89] . It is outside the scope of this study to outline the various models available in the literature for each dimension.…”
Section: Discussionmentioning
confidence: 99%