Modeling of binary molten-salt phase diagrams via neural networks

S. Dai, B. G. Sumpter, D. W. Noid

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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 languageEnglish
Pages (from-to)493-500
Number of pages8
JournalJournal of Phase Equilibria
Volume16
Issue number6
DOIs
StatePublished - Dec 1995

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