Abstract
Computational neural networks are used as implicit thermodynamic models for calculating phase diagrams of binary molten salts. The neural network model accurately describes conformai ionic solution theory in binary systems thereby providing an efficient scheme for determining phase diagrams. Preliminary results are presented for model AC2-BC2 systems.
Original language | English |
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Pages (from-to) | 493-500 |
Number of pages | 8 |
Journal | Journal of Phase Equilibria |
Volume | 16 |
Issue number | 6 |
DOIs | |
State | Published - Dec 1995 |