EXPERIMENTAL DATA VALIDATION AND PROPERTY PREDICTION MODELS IN THERMODYNAMICS

Published

March 1, 2013

Author(s)

Michael D. Frenkel

Abstract

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.

Citation

Vestnik Leningradskogo Universiteta Seriya Fizika Khimiya

Issue

1

Pub Type

Journals

Keywords

data validation, property prediction, models, thermodynamics

Citation

Frenkel, M. (2013), EXPERIMENTAL DATA VALIDATION AND PROPERTY PREDICTION MODELS IN THERMODYNAMICS, Vestnik Leningradskogo Universiteta Seriya Fizika Khimiya (Accessed April 26, 2024)