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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...
Autores principales: | Vasseghian, Yasser, Bahadori, Alireza, Khataee, Alireza, Dragoi, Elena-Niculina, Moradi, Masoud |
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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 |
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