Literature DB >> 24245860

ThermoData Engine (TDE): software implementation of the dynamic data evaluation concept. 9. Extensible thermodynamic constraints for pure compounds and new model developments.

Vladimir Diky1, Robert D Chirico, Chris D Muzny, Andrei F Kazakov, Kenneth Kroenlein, Joseph W Magee, Ilmutdin Abdulagatov, Michael Frenkel.   

Abstract

ThermoData Engine (TDE) is the first full-scale software implementation of the dynamic data evaluation concept, as reported in this journal. The present article describes the background and implementation for new additions in latest release of TDE. Advances are in the areas of program architecture and quality improvement for automatic property evaluations, particularly for pure compounds. It is shown that selection of appropriate program architecture supports improvement of the quality of the on-demand property evaluations through application of a readily extensible collection of constraints. The basis and implementation for other enhancements to TDE are described briefly. Other enhancements include the following: (1) implementation of model-validity enforcement for specific equations that can provide unphysical results if unconstrained, (2) newly refined group-contribution parameters for estimation of enthalpies of formation for pure compounds containing carbon, hydrogen, and oxygen, (3) implementation of an enhanced group-contribution method (NIST-Modified UNIFAC) in TDE for improved estimation of phase-equilibrium properties for binary mixtures, (4) tools for mutual validation of ideal-gas properties derived through statistical calculations and those derived independently through combination of experimental thermodynamic results, (5) improvements in program reliability and function that stem directly from the recent redesign of the TRC-SOURCE Data Archival System for experimental property values, and (6) implementation of the Peng-Robinson equation of state for binary mixtures, which allows for critical evaluation of mixtures involving supercritical components. Planned future developments are summarized.

Mesh:

Substances:

Year:  2013        PMID: 24245860     DOI: 10.1021/ci4005699

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  Validation of thermophysical data for scientific and engineering applications.

Authors:  Vladimir Diky; Ala Bazyleva; Eugene Paulechka; Joseph W Magee; Vikina Martinez; Demian Riccardi; Kenneth Kroenlein
Journal:  J Chem Thermodyn       Date:  2019       Impact factor: 3.178

2.  The need for reliable data in computational thermodynamics.

Authors:  Ursula R Kattner
Journal:  High Temp High Press       Date:  2020       Impact factor: 0.571

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.