Cargando…
Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer
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 the first to use ANN to predict liposome s...
Autores principales: | Ocampo, Ixchel, López, Rubén R., Camacho-León, Sergio, Nerguizian, Vahé, Stiharu, Ion |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537903/ https://www.ncbi.nlm.nih.gov/pubmed/34683215 http://dx.doi.org/10.3390/mi12101164 |
Ejemplares similares
-
Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer
por: López, Rubén R., et al.
Publicado: (2020) -
Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers
por: López, Rubén R., et al.
Publicado: (2021) -
Fabrication of Porous Gold Film Using Graphene Oxide as a Sacrificial Layer
por: Alazzam, Anas, et al.
Publicado: (2019) -
Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications
por: Delavari, Mohammad Mohsen, et al.
Publicado: (2022) -
A review on microfluidic-assisted nanoparticle synthesis, and their applications using multiscale simulation methods
por: Agha, Abdulrahman, et al.
Publicado: (2023)