Modeling the Interfacial Tension of Water-Based Binary and Ternary Systems at High Pressures Using a Neuro-Evolutive Technique

[Image: see text] In this study, artificial neural networks (ANNs) determined by a neuro-evolutionary approach combining differential evolution (DE) and clonal selection (CS) are applied for estimating interfacial tension (IFT) in water-based binary and ternary systems at high pressures. To develop...

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Detalles Bibliográficos
Autores principales: Vasseghian, Yasser, Bahadori, Alireza, Khataee, Alireza, Dragoi, Elena-Niculina, Moradi, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964515/
https://www.ncbi.nlm.nih.gov/pubmed/31956829
http://dx.doi.org/10.1021/acsomega.9b03518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964515/
https://www.ncbi.nlm.nih.gov/pubmed/31956829
http://dx.doi.org/10.1021/acsomega.9b03518

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