EXPERIMENTAL DATA VALIDATION AND PROPERTY PREDICTION MODELS IN THERMODYNAMICS
Michael D. Frenkel
The article provides overview of the systems and software tools designed for global validation of the experimental data in the field of thermodynamics, and experimental data-driven technologies for thermophysical property prediction developed recently at the Thermodynamics Research Center of the U. S. National Institute of Standards and Technology including those based on QSPR, UNIFAC, and Monte Carlo simulation methods.
Vestnik Leningradskogo Universiteta Seriya Fizika Khimiya
data validation, property prediction, models, thermodynamics