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Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer

Author(s): Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I;

Artificial neural networks (ANN) and data analysis (DA) are powerful tools for supporting decision-making. They are employed in diverse fields, and one of them is nanotechnology; for example, in predicting silver nanoparticles size. To our knowledge, we are ...

Article GUID: 34683215


Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers

Author(s): López RR; Sánchez LM; Alazzam A; Burnier JV; Stiharu I; Nerguizian V;

The shape and dimensions of a micromixer are key elements in the mixing process. Accurately quantifying the mixing efficiency enables the evaluation of the performance of a micromixer and the selection of the most suitable one for specific applications. In ...

Article GUID: 34577745


Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer.

Author(s): López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Micromachines (Basel). 2020 Feb 25;11(3): Authors: López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Article GUID: 32106424


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