Modeling ion exchange equilibrium of ternary systems using neural networks
The modeling of the ion exchange equilibrium requires the knowledge of non-idealities in both liquid and solid phases, the ion association effects that take place in solution, and non-correlated equilibrium constants and activity coefficients parameters for the exchanger. The resulting model is inva...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
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| Texto completo: | http://hdl.handle.net/10773/19844 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/19844 |