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Search Publications by: Vladimir Diky (Fed)

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Displaying 51 - 75 of 197

Data Resources for Thermophysical Properties of Metals and Alloys, Part 1: Structured Data Capture from the Archival Literature

January 7, 2017
Author(s)
Boris Wilthan, Erik A. Pfeif, Vladimir Diky, Robert D. Chirico, Ursula R. Kattner, Kenneth G. Kroenlein
In support of the continuous scientific and industrial need for accessible and high-quality thermophysical property data for metals and alloy systems, NIST/TRC is expanding its data archiving and critical evaluation activities to include this area. As part

ThermoData Engine (TDE) Version 10.1 (Pure Compounds, Binary Mixtures, Ternary Mixtures, and Chemical Reactions): NIST Standard Reference Database 103b

July 14, 2016
Author(s)
Vladimir Diky, Chris D. Muzny, Alexander Y. Smolyanitsky, Ala Bazyleva, Robert D. Chirico, Joe W. Magee, Yauheni Paulechka, Andrei F. Kazakov, Scott A. Townsend, Eric W. Lemmon, Michael D. Frenkel, Kenneth G. Kroenlein
The ThermoData Engine is a software expert system implementing the concept of dynamic data evaluation for thermophysical and thermochemical properties of, primarily, organic compounds. This new release provides a substantially expanded database of

ThermoData Engine (TDE) Version 10 (Pure Compounds, Binary Mixtures, Ternary Mixtures, and Chemical Reactions): NIST Standard Reference Database 103b

December 31, 2015
Author(s)
Vladimir Diky, Chris Muzny, Alexander Smolyanitsky, Ala Bazyleva, Robert D. Chirico, Joe W. Magee, Eugene Paulechka, Andrei F. Kazakov, Scott Townsend, Eric Lemmon, Michael D. Frenkel, Kenneth Kroenlein
The ThermoData Engine is a software expert system implementing the concept of dynamic data evaluation for thermophysical and thermochemical properties of, primarily, organic compounds. This new release provides a substantially expanded database of

Representation and Validation of Liquid Densities for Pure Compounds and Mixtures

August 7, 2015
Author(s)
Vladimir Diky, John P. O'Connell, Jens Abildskov, Kenneth G. Kroenlein, Michael D. Frenkel
Reliable correlation and prediction of liquid densities are important for designing chemical processes at normal and elevated pressures. We have extended a corresponding states model from molecular theory to yield a robust method for quality testing of

ThermoData Engine (TDE) Version 9.0 (Pure Compounds, Binary Mixtures, Ternary Mixtures, and Chemical Reactions); NIST Standard Reference Database 103b

December 31, 2014
Author(s)
Michael D. Frenkel, Robert D. Chirico, Vladimir Diky, Kenneth Kroenlein, Chris Muzny, Andrei F. Kazakov, Joe W. Magee, Ilmutdin M. Abdulagatov, Eric Lemmon, Jeongwon Kang
The ThermoData Engine is a software expert systems implementing the concept of dynamic data evaluation. This new release includes implementation of three important new features: (1)new parameters for the NIST "modified UNIFAC" method for predictions of

New Modified UNIFAC Parameters using Critically Evaluated Phase Equilibrium Data

December 30, 2014
Author(s)
Jeongwon Kang, Vladimir Diky, Michael D. Frenkel
New modified UNIFAC property prediction model parameters are reported for 89 main groups and 984 group-group interactions using critically evaluated phase equilibrium data including vapor-liquid equilibrium (VLE), liquid-liquid equilibrium (LLE), solid

Algorithmic Framework for Quality Assessment of Phase Equilibrium Data

June 3, 2014
Author(s)
Vladimir Diky, Robert D. Chirico, Joe W. Magee, Chris D. Muzny, Andrei F. Kazakov, Kenneth G. Kroenlein, Michael D. Frenkel, Jeongwon J. Kang
Data quality assessment procedures for various types of phase equilibrium data are reviewed and analyzed. Experimental data for vapor-liquid equilibrium (VLE), liquid-liquid equilibrium (LLE), solid-liquid equilibrium (SLE), infinite dilution activity

ThermoData Engine (TDE) Version 8.0 (Pure Compounds, Binary Mixtures, Ternary Mixtures, and Chemical Reactions); NIST Standard Reference Database 103b

December 31, 2013
Author(s)
Michael D. Frenkel, Robert D. Chirico, Vladimir Diky, Kenneth Kroenlein, Chris Muzny, Andrei F. Kazakov, Joe W. Magee, Ilmutdin M. Abdulagatov, Eric Lemmon
The ThermoData Engine is a software expert systems implementing the concept of dynamic data evaluation. This new release includes four important new features. (1) Implementation of the Peng-Robinson EOS for mixtures. (2) Evaluation of ideal-gas entropies