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Fast Prediction of the Equivalent Alkane Carbon Number Using Graph Machines and Neural Networks
[Image: see text] The hydrophobicity of oils is a key parameter to design surfactant/oil/water (SOW) macro-, micro-, or nano-dispersed systems with the desired features. This essential physicochemical characteristic is quantitatively expressed by the equivalent alkane carbon number (EACN) whose expe...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631404/ https://www.ncbi.nlm.nih.gov/pubmed/36340160 http://dx.doi.org/10.1021/acsomega.2c04592 |